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TOMRA Systems — Investor Presentation 2014
Jan 9, 2014
3775_iss_2014-01-09_7d92cc3c-8eb7-4460-9c7f-8ab35fe1561c.pdf
Investor Presentation
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SEB NORDIC SEMINAR 2014
President and CEO, Stefan Ranstrand 9 January 2014
POSITIONING TOMRA TOWARDS MACRO TRENDS
THE CHALLENGE: THE OPPORTUNITY:
3 billion more middle-class consumers expected to be in the global economy by 2030
Up to \$1.1 trillion spent annually on resource subsidies
\$2.9 trillion of savings in
2030 from capturing the resource productivity potential
At least \$1 trillion
more investment in the resource system needed each year to meet future resource demands
SOURCE: McKinsey
THE WORLD POPULATION AND STANDARD OF LIVING IS INCREASING DRAMATICALLY
WORLD RESOURCES ARE UNDER UNPRECEDENTED PRESSURE
RESOURCE PRODUCTIVITY MUST INCREASE TO ENSURE SUSTAINABLE DEVELOPMENT
A MARKET LEADER IN ALL ACTIVE MARKETS
* In total food (incl. rice and lane sorting): 12-15%
TOMRA COLLECTION SOLUTIONS: ELEMENTS OF A MODERN REVERSE VENDING SYSTEM
User communication
Recognition system
Sorting & processing Data administration
HOW DOES SENSOR BASED SEPARATION WORK?
- High-tech sensors to identify objects
- High speed processing of information (material, shape, size, color, defect, damage and location of objects)
- Precise sorting by air jets or mechanical fingers
- Product specific equipment design often including multiple technologies to maximize sorting efficiency
AMBITIOUS TARGETS FOR GROWTH AND POSITIONING…
…TO BE EXECUTED WITHIN OUR STRATEGIC DIRECTION
Ultimately, the Resource Revolution goes beyond a single goal or a set of numbers
We all have a stake in getting results – it is a global challenge
TCS: THE GERMAN REPLACEMENT OPPORTUNITY
TCS: ENTER NEW SEGMENTS
TSS: EFFICIENCY IN PRODUCT DEVELOPMENT: COMMON SORTING PLATFORM
Tapping into the synergy potential through streamlining our sorting platform
TSS: CROSS UTILIZING OUR PORTFOLIO TECHNOLOGIES
TITECH NIR + ODENBERG platform
Field Potato Sorter
- The NIR technology allows efficient removal of rocks, dirt and rotten potatoes before the potatoes are stored
- The solution opens up sorting of unwashed potatoes in a way that previously was not possible
BEST LASER + TOMRA mining platform
PRO Laser Duo
- The LASER technology allows detection of quartz of all colors. This opens for sorting of quartz itself, and gold bearing quartz mineralization
- The solution is unique in the market and further underlines our technological leadership
TITECH NIR + BEST LASER
Nimbus BSI
- An NIR sensor has been added to the NIMBUS machine platform
- The new machine increases our competitiveness in the nuts segment
Several more projects on combining technologies into new products in the pipeline
TSS: Q-VISION INNOVATING TO SOLVE A PROBLEM – TRANSFORMING AN INDUSTRY
- Food safety and traceability have become more important than ever with the recent meat scandals across Europe
- TOMRA Sorting has developed an in-line meat analysis solution
- The QVision 500 can conduct:
- Fat
- Protein
- Collagen
- Moisture analysis solution
- Allows meat processors to provide a consistent product quality to their customers
The machine was launched at the IFFA industry trade show in Frankfurt in May and YTD almost 30 units have been sold
- Our solutions, in use around the globe, helped keep up to 20 millions of tons of CO₂ from being released into the atmosphere in 2012
- 30 bn used beverage containers are captured every year through our reverse vending machines
- Our vertical balers contribute to a daily reduction of 20,000 waste pickups, saving 160,000 liters of fuel consumption
- Our steam peelers process 15 million tons of potatoes per year with a 1% yield improvement over other alternatives
- 715,000 tons of metal are recovered every year by our metalrecycling machines
Q&A
TOMRA INVESTOR PRESENTATION
TOMRA SYSTEMS ASA 9th of January 2014
© TOMRA
TOMRA was founded on an innovation in 1972 that began with design, manufacturing and sale of reverse vending machines (RVMs) for automated collection of used beverage containers
Today, TOMRA creates sensor-based solutions for optimal resource productivity
TOMRA IN SHORT
THE TOMRA TRANSFORMATION JOURNEY
CREATING VALUE THROUGH TWO STRONG BUSINESS AREAS
Two strong areas for value creation
Source: Rounded proforma revenue figures after BEST acquisition
TOMRA'S TWO BUSINESS AREAS
| REVERSE VENDING | RECYCLING | |
|---|---|---|
| Share of '12 sales* | ~43% | ~13% |
| Employees | 960 | 190 |
| Customers | Grocery retailers | Material recovery facilities, scrap dealers, metal shredder operators |
| Market share | ~65% | ~50-60% |
| COMPACTION | MINING | |
|---|---|---|
| Share of '12 sales* | ~4% | ~3% |
| Employees | 75 | 50 |
| Customers | Retail, manufacturing industry, restaurant, catering & hotel, warehouse & distribution |
|
| Market share | ~15-20% in active markets |
~40-60% |
| MATERIAL RECOVERY | FOOD | |
|---|---|---|
| Share of '12 sales* | ~13% | ~24% |
| Employees | 400 | 560 |
| Customers | Grocery retailers and beverage manufacturers | Food growers, packers and processors |
| Market share | ~60% in USA (markets served) |
~25% |
| RECYCLING |
|---|
| ~13% |
| 190 |
| MINING |
|---|
| ~3% |
| 50 |
| Mining companies |
| FOOD |
|---|
* Based on 2012 proforma numbers (including BEST for the full year)
TOMRA INSTALLED BASE
| REVERSE VENDING | COMPACTION | RECYCLING | MINING | FOOD | |||||
|---|---|---|---|---|---|---|---|---|---|
| Nordic Germany Other Europe Japan |
~15,300 ~24,400 ~12,500 ~650 |
Nordic UK Other Europe Asia/Oceania |
~16,500 ~17,500 ~28,200 ~4,100 |
Europe US / Canada Asia Other |
~2,180 ~620 ~270 ~400 |
Europe US / Canada Australia South Africa |
~70 ~35 ~20 ~50 |
Europe US/Canada Asia/Oceania South America |
~3,265 ~2,580 ~450 ~190 |
| North America South America |
~17,000 ~1,050 |
North America Middle East/Africa |
~4,200 ~500 |
Other | ~25 | Middle East/ Africa |
~515 | ||
| TOTAL | ~70,900 | TOTAL | ~71,000 | TOTAL | ~3,470 | TOTAL | ~200 | TOTAL | ~7,000 |
Numbers per year end 2012
USING THE POWER OF BUSINESS TO DO GOOD
TOMRA IN DEPTH
TOMRA Collection Solutions
RECYCLING OF BEVERAGE PACKAGING IN A DEPOSIT SYSTEM
ELEMENTS OF A MODERN REVERSE VENDING SYSTEM
User communication
Recognition system
Sorting & processing Data administration
THE USED BEVERAGE CONTAINER RECYCLING VALUE CHAIN
Generic used beverage container (UBC) recycling value chain
RVM-based UBC recycling value chain
Number of reverse vending machines (backrooms excluded) sold per region in 2012 Units
ENSURE SUFFICIENT DIFFERENTIATION BY DELIVERING ON PRODUCT ROADMAP AMBITIONS
2012
2015
T-9: THE FIRST OF A NEW GENERATION OF MACHINES
- On 23rd September 2013, TOMRA presented the first machine of the new generation of machines to come
- T-9 features the first 360 degree recognition system applied in an RVM and a completely new industrial design
- The machine is faster, cleaner and takes all types of beverage containers
- The launch has been successful
- Several machines already installed in core markets
- Key product for replacement sale in e.g. Germany
TOMRA is setting the standard for reverse vending for the next decade
REVERSE VENDING ADVANTAGES
COMPETITIVE LANDSCAPE
Number of RVS markets
Source: TOMRA estimates and analysis
ESTIMATES
• Assist in developing new deposit markets Ensure continued relevance of deposit systems 2 Defend and nurture core deposit market business 1 Embrace new business models 3 4 Expand scope of business • Target new material streams
- Increase differentiation towards competition
- Further reduce the cost of reverse vending systems
-
Increase scope of existing deposit markets
-
Capture new volume by entering new segments
- Create new revenue streams from Software/IT
COGS SAVINGS PROGRAM
- Moving sourcing from high cost to low cost countries has been the major driver for the COGS savings to date
- Our new portfolio has been designed to allow an even higher degree of low cost country sourcing and to benefit from modern manufacturing processes
- In the early phase of a product's lifetime, COGS will be high due to small sourcing volumes and high cost of certain cutting-edge components
Phases of COGS saving program Achieved and estimated savings Percent (of average portfolio cost)
ILLUSTRATIVE
EXAMPLE: CHANGES IN SOURCING SETUP
COGS distribution by region (sourcing)
Source: TOMRA analysis
ENSURE CONTINUED RELEVANCE OF AUTOMATED DEPOSIT SYSTEMS
40 % 60 % Handled with RVS Handled manually Handling method for deposit containers Percent of total
Share of containers sold with deposit Percent of total
ILLUSTRATIVE
ENTER NEW SEGMENTS
CREATE NEW REVENUE STREAMS FROM SW/IT
| TOMRAPIUS | Mill Freem | * A fettigs / 42 Tonsier / O Liquid | ||||
|---|---|---|---|---|---|---|
| University TEPathetix Library accord University ٠ |
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| ES w e man and the contract of watakan Reports Prompton |
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Ġ o. CONTRACTOR |
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Nearch | Virginian All markings. | ||||
| Filter box | Number of machines. 1396 | Gar Gaves Corner Australian | ||||
| ٠ Ltdr Orter norm of Mar. |
Stre Edg Date Of |
System B Supra C |
Markins model (B) | $I$ and $m$ $\Omega$ | State | Levillenman |
| $M = -5$ | as from | |||||
| Sent Blue | Delautifave | TFSI | STERNET | Đ. CARDON FRONTIN |
||
| Filters | Ostave deck - | TO | Provenir! | D TRACKS FAN FIL |
||
| Seast Mar - At machines $\blacksquare$ Abt now May |
Detections | TTW | systematic | ٠ TORZZYA TAX TTA |
||
| Cultaut thro | TT10 |
PITCHER SET | Division 1064206 Haw Fig. |
|||
| Cube 4 Pens | TTWL | brinish karl. | ٠ 100x206 FEW KIN |
|||
| Flamput Center | Thu | SHORAARD | DOM: 1062208 FBILTIS |
|||
| Delautriture | YFW | RIGHTERS | ÷. | |||
| 106 (23) 18 y 11s |
Integrating hardware and software into attractive and engaging combos
NEW DEPOSIT MARKETS
COLLECTION SOLUTIONS – FINANCIAL DASHBOARD
TARGETS 2013 -2018
Yearly growth 4 – 8%
COGS cut program continues: 40% reduced COGS on new RVM machines from 2010 to 2015
EBITA-margin 17%-22%
TOMRA Sorting Solutions
STRONG REVENUE GROWTH SINCE INCEPTION IN 1996
* Includes BEST proforma for 2012 and excluding Chilling and Freezing unit divested Q1 2013
HOW DOES SENSOR BASED SEPARATION WORK?
- High-tech sensors to identify objects
- High speed processing of information (material, shape, size, color, defect, damage and location of objects)
- Precise sorting by air jets or mechanical fingers
- Product specific equipment design often including multiple technologies to maximize sorting efficiency
ADOPTION OF SENSOR-BASED SORTING AT DIFFERENT MATURITY LEVELS
* In certain mining sub-segments, such as industrial minerals and diamonds, sensor-based sorting is a more mature technology.
CUTTING-EDGE TECHNOLOGY DRIVEN BY SIGNIFICANT INVESTMENTS IN R&D…
SENSOR PORTFOLIO
- In-house R&D department with more than 20% of all employees
- 8% of revenue invested in R&D
- Developing own sensors
- Using own software and data processing tools
- Ownership of 80 patents
- Partnership with leading R&D institutions: SINTEF, CTR, Fraunhofer ILT; universities like RWTH, Aachen and Brussels
…TO DEVELOP PRODUCTS SERVING A WIDE RANGE OF DETECTION PARAMETERS
Color Removal of discolorations in monoand mixed-color material
Blemishes Objects with spots or other (small) blemishes are removed
Defects Removal of visible and invisible small and substantial defects
Structure Removal of soft, molded or rotten food
Density Detection of density differences
Damage Broken, split and damaged objects are detected and removed
Shape & Size Sort on length, width, diameter, area, broken-piece recognition, …
Biometric Characteristics
Sort based on water content and removal of micotoxyn contaminations
Foreign Material
Removal of foreign material in a material stream, e.g. insects, worms, snails or plastics in food applications
Fluo
X-RAY
density and shape
Based on the chlorophyll level present in produce defects are removed
Detox Removal of produce contaminated with aflatoxin
Analysis of objects based on their
A COMMON SENSOR BASED TECHNOLOGY PORTFOLIO
| Gamma |
|---|
| radiation |
| X-ray |
| Ultraviolett (UV) |
| Visible light (VIS) |
| Near Infrared (NIR) |
| Infrarot (IR) |
| Microwaves |
| Radio waves |
| Alternating current (AC) |
| [m] | Sensor/ Technology |
Material Property | Segment |
|---|---|---|---|
| 10-12 10-11 |
RM (Radiometric) | Natural Gamma Radiation | Mining |
| 10-10 10-9 |
XRT (X-ray transmission) Low Energy X-ray |
Atomic Density | Recycling, Mining, Food |
| 10-8 10-7 |
XRF | X ray fluorescence (Elemental Spectroscopy) |
Recycling, Mining |
| 10-6 10-5 10-4 10-3 10-2 10-1 |
COLOR (CCD Color Camera) | Reflection, Absorption, Transmission |
Recycling, Mining, Food |
| Laser attenuation and PM (Photometric) |
Monochromatic Reflection /Absorption of Laser Light Scattering analysis of Laser Light |
Mining, Food | |
| NIR / MIR (Near/Medium Infrared Spectrometry) |
Reflection, Absorption (Molecular Spectroscopy) |
Recycling, Mining, Food | |
| 101 102 103 |
LIBS | Laser induced breakdown spectroscopy |
Recycling, Mining |
| 104 | EM (Electro Magnetic sensor) |
Conductivity, permeability |
Recycling, Mining, Food |
CROSS UTILIZING OUR PORTFOLIO TECHNOLOGIES
TITECH NIR + ODENBERG platform
Field Potato Sorter
- The NIR technology allows efficient removal of rocks, dirt and rotten potatoes before the potatoes are stored
- The solution opens up sorting of unwashed potatoes in a way that previously was not possible
BEST LASER + TOMRA mining platform
PRO Laser Duo
- The LASER technology allows detection of quartz of all colors. This opens for sorting of quartz itself, and gold bearing quartz mineralization
- The solution is unique in the market and further underlines our technological leadership
TITECH NIR + BEST LASER
Nimbus BSI
- An NIR sensor has been added to the NIMBUS machine platform
- The new machine increases our competitiveness in the nuts segment
Several more projects on combining technologies into new products in the pipeline
SORTING UNWASHED POTATOES: WORKING PRINCIPLE
- The Field Potato Sorter is ODENBERG's first venture into the unwashed potato market
- The machine uses unique near infra-red technology to remove soil clods, stones and rotten potatoes, in addition to the foreign material commonly found in fields such as golf balls, plastics, wood etc
- The FPS sorter should be used after a soil remover and is designed to fit existing grading equipment or be used as a standalone unit and can operate on harvested potato crop before and after storage
- The system also provides online potato size data for logging, plus sorter operating information
SORTING VALUE PROPOSITION
MARKET SIZE AND POTENTIAL
Total annual market size
EUR million
Source: TOMRA estimates and analysis
* Market size for food includes peeling, meat/process analytics, virgin materials and tobacco.
Market growth
- Market expected to grow at rate of around 7-9% per year
- A large part of growth from unlocking of dormant potential – only possible by developing new applications and technologies
- Some growth in "old world", but faster growth in "new world"
Expected development in geographical revenue contribution
SORTING SOLUTIONS: OUR STRATEGY
| Food | Recycling | Mining | ||
|---|---|---|---|---|
| More than doubling of emerging markets revenue (but North America and Europe still 60% of business in 2018) |
||||
| 1 | Revenue growth | New applications representing 25% of revenue in 2018 |
15 M€ growth in new segments |
Significant expansion of sales network |
| of 10-15% over the period |
New segments representing 10% of revenue in 2018 |
50% growth in service revenue | Succeed in high volume segments |
|
| Grow with existing customers and double service revenue |
||||
| Extend | Common sorting platform for all new product developments | |||
| 2 | technology | Cross-utilization of sensor portfolio, e.g. NIR/BSI in food and laser in mining | ||
| leadership | Extend current leadership in core NIR and laser technologies, and develop new cutting edge sensors | |||
| Design changes, economies of scale and purchasing power to lower COGS | ||||
| 3 | Improve | Consolidation of manufacturing and sourcing; increased sourcing from low cost countries | ||
| operational efficiency |
Streamlining of organization and processes to take out synergies across business units | |||
| Target to grow profits at several percentage points faster than revenue |
TOMRA SORTING: ORDER BACKLOG DEVELOPMENT
Other TSS US french fries plant
FINANCIAL DASHBOARD – SORTING SOLUTIONS
TARGETS 2013 -2018
Yearly organic growth 10-15%
Geographical expansion
EBITA-margin 18-23%
(i) In markets served. Total food sorting (incl. rice and lane sorting*) 12-15%
61
GROWTH IN GLOBAL FOOD DEMAND WILL SPUR INVESTMENTS IN AUTOMATION
Drivers and trends
- Increasing food consumption in emerging markets, more mid-class consumers
- Industry focus on increased productivity and reducing costs through automation & quality control
- Higher quality demands from the consumers
- Stricter regulations from governments concerning food safety , health & traceability
- Shift towards packaged convenience food and fast food
- Risk of claims & recalls
- Social media snowball effect (Twitter, Facebook, etc.)
- Globalization of brands and sourcing set up
- Scarcity & expense of (seasonal) manual labor
- Consolidation in the retail and processing sectors
- Adoption of technology in emerging markets
MARKET SIZE FOOD SORTING*
Total annual market size
EUR million
* Market sizes shown include peeling, meat/process analytics, virgin materials and tobacco.
Market growth
- Total market for food sorting growing around 6- 8% per year
- Approximately a third of total growth is dormant potential
- only unlocked by development of new applications and technologies
- New world share grows but the two old world ~770 champions (Europe & Americas) remain strong
Expected development in geographical revenue contribution
WE ARE UNIQUELY POSITIONED TO SERVE THE ENTIRE VALUE CHAIN WITH OUR PRODUCT PLATFORM
Sales of potato-related products account for about 25% of the sales in the food division
TOMRA HAS THE BROADEST FOOTPRINT WITHIN THE FOOD SORTING UNIVERSE
* TOMRA estimates
THREE WAYS OF SORTING WITHIN THE FOOD SEGMENT
| Free fall (Channel / Chute) | |||
|---|---|---|---|
| Application | Seeds, rice, grains |
||
| Companies | Buhler, Key, Best, Satake, Daewon, Hefei, Orange |
||
| Sensor tech. | Camera (simple) |
| Belt | |
|---|---|
| Application | Prepared /preserved veg. and fruit |
| Companies | Best, Key, Odenberg, Raytec |
| Sensor tech. | Several (complex) |
| Lane | |
|---|---|
| Application | Fresh produce |
| Companies | MAF, Aweta, Greefa, Compac |
| Sensor tech. |
Several (medium) |
Note: Piechart showing estimated total revenue within the food sorting segment
FOOD COMPETITIVE LANDSCAPE
TOMRA competitive positioning
- Size (revenues)
- Widest range of applications (150+)
- Broadest technology base
- Geographic reach (~80 countries)
- Market share in targeted segments
- Transformative solutions (Q-Vision)
- Market share: 40-50% in markets served*
* Total Food sorting (also including rice and lane sorting): 12-15%
OUR BROAD COVERAGE AND TECHNOLOGY BASE IS SETTING US APART
| DRIED FRUIT | NUTS | FRESH CUT | FRUIT | VEGETABLES | MEAT | POTATOES | SEAFOOD | |
|---|---|---|---|---|---|---|---|---|
| FOOD | • Apricots • Craisins • Figs • Prunes • Raisins |
• Almonds • Cashews • Hazelnuts • Macadamias • Peanuts • Pecans • Pistachios • Seeds • Walnuts |
• Baby leaves •Iceberg lettuce • Spinach • Spring mix |
• Apples • Blackberries • Blueberries • Cherries • Citrus • Cranberries • Peaches & pears • Raspberries • Strawberries • Tomatoes |
• Beans • Beet • Broccoli • Carrots • Corn • Cucumbers • IQF vegetables • Jalapenos/ Peppers • Onions • Peas • Pickles |
• Bacon bits • Beef •IQF meat • Pork • Pork rind |
• Washed • French fries • Unpeeled • Peeled • Potato chips • Specialty products • Sweet |
• Mussels • Scallops • Shrimps |
| SENSOR TECHNOLOGY |
LASER NIR VIS X-RAY |
LASER CAMERA X-RAY |
LASER CAMERA |
LASER CAMERA NIR VIS |
LASER CAMERA NIR VIS |
LASER CAMERA NIR |
LASER CAMERA NIR VIS |
LASER CAMERA NIR VIS X-RAY |
OUR CUSTOMERS
We are active in five continents and 80 markets
- 6 of the 10 largest, global food companies are our customers
- We have ~2,000 customers globally
TSS Food provides sorting solutions for:
- Growers: Harvester mounted tomato, onion and garlic sorters
- ~5% of our customers
- Packers: Sorting of many different types of fruit and vegetables by color, size, shape, defect, blemish, damage or foreign objects
- ~30% of our customers
- Processors: Sorting of processed potatoes (French fries, chips), fruits and vegetables
- ~65% of our customers
SPECIALTY PRODUCTS APPLICATIONS
| RAW MATERIALS | TOBACCO | 10 % | Peeling | |
|---|---|---|---|---|
| APPLICATIONS | • Virgin plastics • Synthetic rubber • Virgin wood |
• Threshing lamina • Threshing stems • Oriental leaf |
15 % | Meat (Process Analytics) |
| • Specialty chemicals |
• Primary lamina • Primary stems |
Raw materials and tobacco | ||
| SENSOR TECHNOLOGY |
LASER/FLUO CAMERA |
LASER/FLUO CAMERA |
75 % | Vegetables, fresh cut, processed lettuce and spinach |
| HYPERSPECTRAL | (Food Sorting) |
Nuts | ||
| Fruits | ||||
| Dried Fruit and Seafood | ||||
| Potatoes | ||||
| Whole product sorting |
GLOBAL DRIVERS FOR THE RECYCLING SEGMENT
Drivers and trends
- Consumption and industry production level increase
- Favorable changes in regulatory framework (DSD, WEEE, ELV, etc)
- Commodity price levels and fluctuation
- Access to financing
- Demand for recycled raw materials
- Increasing labor costs in emerging world drive adoption of automatic sorting technologies
- Some countries in Western Europe partly saturated
- Pre-sorted (plastics) still door opener in new markets
- Municipal Solid Waste (MSW) important in emerging countries
- More aggressive pricing from competitors affect market
MARKET SIZE RECYCLING
Total annual market size
EUR million
Market growth
- Market expected to grow at around 7-9% per year, lower than previous expectations due to economic slowdown
- Demand in old world flattening, while new markets expected to drive growth
- Existing segments will serve as a base, whilst the majority of growth will come from:
- New geographies
- New applications
- New products
RECYCLING: APPLICATIONS AND SENSOR TECHNOLOGY
| HOUSEHOLD WASTE |
PACKAGING | C & D | AUTOMOBILE SHREDDER |
ELECTRONIC SCRAP |
|
|---|---|---|---|---|---|
| MATERIAL | • Hard plastics • Plastic film • Mixed paper • RDF • Metals • Organics/ Biomass |
• Plastics • Plastic film • Cardboard • Mixed paper • Deinking paper • Metal |
• Inert material • Plastic film • Metals • Wood • Paper & Cardboard • Plastics |
• NF metal • Stainless steel • Copper cables • Copper • Brass • Aluminum • Meatball sorting |
• Printed circuit boards • Non-ferrous metal concentrates • Cables • Copper • Brass • Stainless steel • Meatball sorting |
| SENSOR TECHNOLOGY |
NIR VIS XRT |
NIR VIS EM |
NIR VIS XRT EM |
NIR VIS XRT EM COLOR XRF |
XRT EM NIR COLOR XRF |
Mixed paper PE/PP flakes Cleaned wood Copper Wire Brass
AUTOMATED WITH TOMRA SORTING UNITS
Sorting of Municipal Solid Waste, Cyprus
RECYCLING COMPETITIVE LANDSCAPE
TOMRA competitive positioning
- Largest installed base
- Highest revenues
- Broadest technology platform
- Highest number of applications and markets served
- Leading brand
- Market share: 55-65%
Source: TOMRA estimates and analysis
GLOBAL DRIVERS FOR THE MINING SEGMENT
- Energy costs and water stress are major drivers
- Demand of all commodities is expected to grow with increased population and urbanization in the drivers seat
- Increasing labor costs in emerging world drive adoption of automatic sorting technologies
- Mining companies capex impact the investment sentiment
- Sensor based sorting is considered to be a future solution
- Hardest competition comes from alternative well proven technologies
MARKET SIZE MINING
Total annual market size
EUR million
Market growth
- Capex is forecasted to decline 2013 2014 (down 20% versus 2012)
- Expected to pick-up again during 2015
- Sensor based machines sales expected to grow at around 15% per year
- Growth is however conditional on new applications and technologies being developed
- Sensor based sorting is still a technology to be accepted and growth in this niche has
MINING: APPLICATIONS AND SENSOR TECHNOLOGY
| INDUSTRIAL MINERALS |
BASE & Fe METALS |
FUEL/ ENERGY |
PRECIOUS METALS |
DIAMONDS & GEMS |
METAL SLAG | |
|---|---|---|---|---|---|---|
| • Calcite |
•Copper | • Coal |
• Gold |
• Diamonds |
• Stainless steel |
|
| COMMODITY | • Quarts |
• Zinc |
• Uranium |
• Platinum |
• Tanzanite |
• Copper |
| • Feldspar |
• Nickel |
• Colored |
• Chrome |
|||
| • Magnesite |
• Tungsten |
gemstones | ||||
| • Talcum |
• Iron |
|||||
| • Dolomite |
• Manganese |
|||||
| • Salt |
• Chromite |
|||||
| XRT | XRT | XRT | COLOR | XRT | ||
| SENSOR TECHNOLOGY |
COLOR XRT |
COLOR | RM | COLOR | XRT | XRF |
| NIR | EM | XRF | XRF | EM | ||
| XRF | NIR | NIR | NIR | |||
| Calcite | Copper | Coal | Gold | Diamonds | Ferro Silica Slag |
THE CONCEPT OF SENSOR-BASED SORTING IN MINING
Mining process: Industrial minerals
- 15% to 50% of the ROM can be rejected in an early stage of the process (application dependent)
- These low grade waste rocks don't need to be transported, crushed, grinded or further treated
Mining process: Metal mining
Current segment Potential new segment
MINING COMPETITIVE LANDSCAPE
TOMRA competitive positioning
- Wide geographical coverage
- Broadest technology platform
- Leading brand
- Pioneering in developing high volume sorter in corporation with Rio Tinto
- Market share: 40-50%
Historical financial performance
KEY FINANCIALS DEVELOPMENT
EBITA and margin Earnings per share
FINANCIAL HIGHLIGHTS BALANCE SHEET, CASH FLOW AND CAPITAL STRUCTURE
| Cashflow (NOKm) | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| From operations | 540 | 550 | 566 | 525 | 457 | 375 | 526 | 346 | 243 | 381 | 4 509 |
| From Investing | (201) | (209) | (150) | (229) | (163) | (182) | (143) | (140) | (65) | (136) | (1 617) |
| Free cashflow after tax (I) | 339 | 341 | 416 | 297 | 294 | 193 | 383 | 207 | 177 | 245 | 2 892 |
| Dividend | (185) | (155) | (89) | (81) | (75) | (70) | (65) | (61) | (321) | (54) | (1 155) |
| Share buy back | 0 | (5) | (4) | (4) | (50) | (202) | (408) | (422) | (211) | 0 | (1 306) |
| Dividend minorities | (25) | (34) | (28) | (30) | (15) | (21) | (13) | (17) | (12) | (13) | (208) |
| Paid back to owners (II) | (210) | (195) | (121) | (116) | (140) | (293) | (486) | (499) | (545) | (66) | (2 670) |
| From Acquisitions (III) | 0 | (829) | (407) | (79) | 0 | (144) | 0 | (113) | (111) | (260) | (1 943) |
| Net cashflow = (I) + (II) + (III) | 129 | (683) | (112) | 102 | 154 | (244) | (103) | (405) | (479) | (81) | (1 720) |
| Amounts in NOK million | 31 Sept. 2013 |
||
|---|---|---|---|
| ASSETS | 5,724 | ||
| • Intangible non-current assets |
2,451 | ||
| • Tangible non-current assets |
591 | ||
| • Financial non-current assets |
262 | ||
| • Inventory |
902 | ||
| • Receivables |
1,371 | ||
| • Cash and cash equivalents |
147 | ||
| LIABILITIES AND EQUITY | 5,724 | ||
| • Equity |
2,573 | ||
| • Minority interest |
84 | ||
| • Interest bearing liabilities |
1,654 | ||
| • Non-interest bearing liabilities |
1,413 |
NOTE: 2013 figures comprise actual YTD September 13 + 4Q13 estimated to be equal to the average of the last four 4Qs. Should not be read as guidance
CURRENCY EXPOSURE
Revenues and expenses per currency;
NOTE: Rounded figures
| EUR* | USD | NOK | SEK | OTHER | TOTAL | |
|---|---|---|---|---|---|---|
| Revenues | 45 % | 30 % | 5 % | 10 % | 10 % | 100 % |
| Expenses | 45 % | 25 % | 10 % | 10 % | 10 % | 100 % |
| EBITA | 45% | 65 % | - 30 % |
10 % | 10 % | 100 % |
* EUR includes DKK
10% change in NOK towards other currencies will impact;
| Revenues | Expenses | EBITA | |
|---|---|---|---|
| EUR* | 4.5% | 4.5% | 4.5% |
| USD | 3.0% | 2.5% | 6.5% |
| SEK | 1.0% | 1.0% | 1.0% |
| OTHER | 1.0% | 1.0% | 1.0% |
| ALL | 9.5% | 9.0% | 13.0% |
HEDGING POLICY
- TOMRA hedges B/S items that will have P/L impact on currency fluctuations
- TOMRA can hedge up to one year of future predicted cash flows. Gains and losses on these hedges are recorded in the finance line, not influencing EBITA
COLLECTION SOLUTIONS – SEGMENT FINANCIALS
Revenue development NOK million
Gross and EBITA margin development Percent
SORTING SOLUTIONS – SEGMENT FINANCIALS
Revenue development NOK million
Gross and EBITA margin development Percent
A COMMENT ON RETURN ON CAPITAL EMPLOYED
Capital employed is calculated as EBITA/Net assets:
- (Net assets = Total Assets Total debt, adjusted for cash, interest bearing debt, and tax items)
- 2010 ROCE for TCS is adjusted for EU fine
TOMRA has delivered ROCE in the range 30-50% for the last three years
DISCLAIMER
Copyright
The material in this Document (which may be a presentation, video, brochure or other material), hereafter called Document , including copy, photographs, drawings and other images, remains the property of TOMRA Systems ASA or third party contributors where appropriate. No part of this Document may be reproduced or used in any form without express written prior permission from TOMRA Systems ASA and applicable acknowledgements. No trademark, copyright or other notice shall be altered or removed from any reproduction
Disclaimer
This Document (which may be a presentation, video, brochure or other material), hereafter called Document, may include and be based on, inter alia, forward-looking information and statements that are subject to risks and uncertainties that could cause actual results to differ. The content of this Document may be based on current expectations, estimates and projections about global economic conditions, including the economic conditions of the regions and industries that are major markets for TOMRA Systems ASA and its subsidiaries and affiliates. These expectations, estimates and projections are generally identifiable by statements containing words such as "expects", "believes", "estimates" or similar expressions, if not part of what could be clearly characterized as a demonstration case. Important factors that could cause actual results to differ materially from those expectations include, among others, changes in economic and market conditions in the geographic areas and industries that are or will be major markets for TOMRA Systems ASA. Although TOMRA Systems ASA believes that its expectations and the Document are based upon reasonable assumptions, it can give no assurance that those expectations will be achieved or that the actual results will be as set out in the Document. TOMRA Systems ASA does not guarantee the accuracy, reliability or completeness of the Document, and TOMRA Systems ASA (including its directors, officers and employees) accepts no liability whatsoever for any direct or consequential loss arising from the use of this Document or its contents. TOMRA Systems ASA consists of many legally independent entities, constituting their own separate identities. TOMRA is used as the common brand or trade mark for most of these entities. In this Document we may sometimes use "TOMRA", "TOMRA Systems", "we" or "us" when we refer to TOMRA Systems ASA companies in general or where no useful purpose is served by identifying any particular TOMRA Company