Analysing Diamond Miners. Presentation to the Association of Mining Analysts

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EQUITY I RESEARCH Analysing Diamond Miners Presentation to the Association of Mining Analysts March 2017 RBC Europe Limited Richard Hatch (Analyst) +20 7002 2111 richard.hatch@rbccm.com Des Kilalea (Analyst) +20 7653 4538 des.kilalea@rbccm.com This report is priced at market close, 28 March 2017. All values in U.S. dollars unless otherwise noted. For Required Non-U.S. Analyst and Conflicts Disclosures, please see page 24.

Agenda Background to the diamond mining space Key valuation drivers Considerations when looking at projects/mines Modelling Q&A 2

Background to the diamond mining space

Kimberlites are limited in location and remote and hard to find Kimberlites are localised and remote Diamond Formation in Earth's Mantle. Geologists believe that the diamonds in all of Earth's commercial diamond deposits were formed in the mantle and delivered to the surface by deep-source volcanic eruptions. These eruptions produce the kimberlite and lamproite pipes that are sought after by diamond prospectors. Mine Year opened Mine Year opened Cullinan 1904 Ekati 1998 Namaqualand 1928 Oaks 1999 Mining Area 1936 Damtshaa 2002 Zarnitsa 1954 Diavik 2003 Mir 1955 Arkhangel 2006 Udachnaya 1955 Snap Lake 2007 Aikal 1960 SA Sea Areas 2007 Finsch 1967 Voorspoed 2008 Orapa 1971 Victor 2008 Letlhakane 1975 Camatchia 2008 Kimberley 1980 Karowe 2012 Jwaneng 1982 Grib 2014 Orange Rive 1989 Ghaghoo 2014 Elizabeth Ba 1990 Botuobinska 2015 Namibia Sea 1990 Karpinsky-1 2015 Venetia 1992 Gahcho Kue 2016E Catoca 1997 Renard 2017E Source: Company reports and estimates 4

Exploration is focused on three major areas Looking where the previous ore bodies have been found but the easy ones have been discovered Source: Company reports and estimates 5

Economic kimberlites are scarce and take a long time to bring to production 6800 Kimberlites sampled vs Actual Mines since 1869 5800 1000 940 60 Kimberlites sampled No diamonds Diamondiferous Not economic Economic From Discovery to Production Karpinsky-1 Ghaghoo Gahcho Kue Renard Karowe Grib Udachny Venetia Botuobins Jwaneng The Oaks Diavik Ekati Argyle Catoca Letlhakane Finsch Orapa Source: Company reports and estimates 6 0 5 10 15 20 25 30 35 40 Years

Fewer dollars go to diamond exploration Exploration is falling as majors pull back $MM 12000 Exploration spending by commodity 10000 8000 6000 4000 2000 0 2002E 2003E 2004E 2005E 2006E 2007E 2008E 2009E 2010E 2011E 2012E 2013E 2014E 2015E Gold Diamonds Base Metals PGMs Other Source: Company reports and estimates 7

Of the producers, rough diamond production is highly concentrated Concentration means that major producers hold the power to influence prices 2016E Production Volume (%) 2016E Production Value (%) Others 48% De Beers 22% Others 31% De Beers 38% Alrosa 30% Alrosa 31% Source: Company reports and estimates 8

1940A 1965A 1978A 1983A 1988A 1993A 1998A 2003A 2008A 2013A 2018E Ct MM so supply is relatively easy to forecast 200 150 100 50 0 $/ct 150 140 130 120 110 100 90 80 70 60 50 Global Rough Diamond Production Ekati Angola artisinals Jwaneng Catoca Udachnaya Venetia Finsch Orapa Average price and production value $bn 20.0 18.0 16.0 14.0 12.0 10.0 8.0 6.0 4.0 2.0 Series1 $/ct Diavik Karowe Argyle U/G Misery Grib Gahcho Kue Renard Year Mine opened Cullinan 1904 Namaqualand 1928 Mining Area 1 1936 Zarnitsa 1954 Mir 1955 Udachnaya 1955 Aikal 1960 Finsch 1967 Orapa 1971 Letlhakane 1975 Kimberley 1980 Jwaneng 1982 Orange River 1989 Elizabeth Bay 1990 Namibia Sea Areas 1990 Venetia 1992 Catoca 1997 Ekati 1998 Oaks 1999 Damtshaa 2002 Diavik 2003 Arkhangel 2006 Snap Lake 2007 SA Sea Areas 2007 Voorspoed 2008 Victor 2008 Camatchia 2008 Karowe 2012 Grib 2014 Ghaghoo 2014 Botuobinskaya 2015 Karpinsky-1 2015 Gahcho Kue 2016E Renard 2016E Source: De Beers and estimates 9

The diamond mining business rough prices vary greatly; s/t margin most important Average rough diamond prices Company/mine $/ct Company/mine $/ct Global average 14 121 Zimbabwe 14 45 De Beers 1 177 Petra 6 127 Debswana 1 146 Cullinan 6 164 South Africa 1 114 Finsch 6 95 Namdeb 1 519 Williamson 6 360 Canada 1 370 Gem -Letseng 7 1899 Alrosa 2 165 Gem - Ghaghoo 7 157 Argyle 3 ~15-25 Lucara - Karowe 8 850 Diavik 4 147 Mountain Privince Gahcho Kue 9 123 Ekati 5 199 Stornoway - Renard 10 155 DR Congo 14 12 Firestone - Liqhobong 11 1325 Namibia 14 770 Rockwell 12 1560 Angola 14 Trans Hex 13 1000 Notes: 1. H1 2016 8. Based on Jan-September 2016 2. Q3 gem quality average; ~$117 including industrials 9. Based on model prices 2014 3. RBC estimate 10. Based on June 2016 estimates 4. FY2015 11. Based on resource sattement Sept 2015 5. FY2015 as 2016 influenced by fire 12. Q2 FY17 6. Q3 2016 13. H1 FY17 7. H1 2016 14. Kimberley Process statistics Source: Company reports and estimates 10

Diavik Aikhal Mirny Jwaneng Gahcho Kue Karowe Nizne Lenskoye Letlhakane Liqhobong Finsch Renard Nyurba Almazy Anabara Koffie Udachnaya Cullinan Victor Letseng Venetia Damtshaa Ekati Kimberley Orapa Voorspoed Williamson Namdeb Ghaghoo Argyle Debmarine Snap Lake Severalmaz Operating margin (%) Operating margin $/t) Diamond mining is profitable (i) and weak currencies continue to help Margins remain strong with room for flat or lower prices Operating margin per tonne 100% 400 80% 60% 84% 82% 82% 82% 80% 79% 77% 75% 72% 72% 68% 67% 67% 63% 60% 60% 57% 54% 53% 51% 51% 50% 49% 350 300 250 40% 30% 30% 30% 28% 200 150 20% 0% -20% 17% 8% 2% -8% 100 50 0-50 Margin (%, LHS) Margin ($/t, RHS) Source: Company reports and estimates 11

Diamond mining is profitable (ii) Margins remain strong with room for flat or lower prices Venetia Debmarine Gahcho Kue Orapa Jwaneng Source: De Beers 70 60 50 40 30 20 10 0-10 EBITDA Margins (%) 2012A 2013A 2014A 2015A 2015E: Rough - 15% De Beers Alrosa Rio Dominion Petra Lucara Gem Source: Company reports and estimates 12

Key valuation drivers

Key valuation drivers Diamond price Use this to work out your revenue per tonne Grade Escalation factor market comfort factor ~2.5%/yr robust projects still look attractive at flat prices Opex costs Use these to work out your operating margins FX Capex costs look at FX assumptions, ask what is excluded Waste stripping has to be done for an open pit, are there any major waste strips coming up (e.g. GEMD) Discount rates Canada 7%, South Africa 10%, Russia 12% 14

Other considerations

Other considerations to build in to analysis Execution/project risk: Power/water/communities Security of tenure Tax and royalty regime and security of this Project funding/requirement for cash When was the diamond price valuation completed? Markets have moved; if valuation completed in late 2014 we have seen prices down 20% If an operating mine, what has changed? E.g. Lucara large stone potential 16

Sources of information You are not ALONE Different countries have different codes (SAMREC, JORC, 43-101 ) A legal requirement when going out to the public Origins in some misleading projects such as Bre-X The first port of call for detailed information Signed off by named professionals who take responsibility for the work Makes models more accurate and fund raising easier Source: Lucara Bre-X `world's biggest mining scam Independent News 5 May 1998 17

A schematic of the ore bodies and the proposed pit shell The AK6 ore bodies and the pit shell looking east note the dominance of the South Lobe Source: Lucara 18

Technical Report and Resources Updated frequently as mining progresses Source: Lucara 19

The Cash Flow Model The company s assumptions aided by specialists Source: Lucara 20

Modelling

Modelling examples Revenue per tonne and margin per tonne Sensitivity to diamond price escalators A simplified diamond mine model 22

Q&A

Required Disclosures Non-U.S. Analyst Disclosure Richard Hatch and Des Kilalea (i) are not registered/qualified as research analysts with the NYSE and/or FINRA and (ii) may not be associated persons of the RBC Capital Markets, LLC and therefore may not be subject to FINRA Rule 2241 restrictions on communications with a subject company, public appearances and trading securities held by a research analyst account. Conflicts Disclosures The analyst(s) responsible for preparing this research report received compensation that is based upon various factors, including total revenues of the member companies of and its affiliates, a portion of which are or have been generated by investment banking activities of the member companies of and its affiliates. Distribution of Ratings For the purpose of ratings distributions, regulatory rules require member firms to assign ratings to one of three rating categories - Buy, Hold/Neutral, or Sell - regardless of a firm's own rating categories. Although ' ratings of Top Pick/Outperform, Sector Perform and Underperform most closely correspond to Buy, Hold/Neutral and Sell, respectively, the meanings are not the same because our ratings are determined on a relative basis (as described above). 24

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