The Gartner Supply Chain Top 25 for 2015

1

Amazon

3,394

468

0.0%

8.7

21.7%

5.32

2

McDonald's

1,626

283

14.6%

157.3

-0.2%

5.23

3

Unilever

1,996

619

11.3%

6.7

-0.2%

5.15

4

Intel

1,064

481

12.1%

5.0

2.4%

4.09

5

Inditex

1,003

297

17.0%

3.8

8.8%

4.04

6

Cisco Systems

1,147

500

8.4%

12.6

1.5%

4.01

7

H&M

809

89

26.6%

3.7

12.8%

4.01

8

Samsung Electronics

1,568

330

10.5%

17.7

0.5%

3.91

9

Colgate-Palmolive

1,034

318

17.8%

5.0

0.6%

3.91

10

Nike

1,369

214

14.5%

4.1

10.7%

3.78

11

The Coca Cola Co.

1,938

287

8.9%

5.4

-1.0%

3.49

12

Starbucks

1,215

174

13.0%

6.8

11.6%

3.48

13

Walmart

1,794

259

8.4%

7.8

2.5%

3.39

14

3M

1,161

150

14.9%

4.2

2.7%

3.09

15

PepsiCo

890

330

8.9%

8.3

0.3%

3.04

16

Seagate Technology

176

114

19.9%

10.8

3.9%

2.99

17

Nestlé

1,123

244

9.9%

5.1

2.0%

2.93

18

Lenovo Group

771

218

3.9%

12.8

18.9%

2.89

19

Qualcomm

218

50

15.5%

8.8

17.8%

2.85

20

Kimberly-Clark

819

243

10.5%

5.9

0.8%

2.76

21

Johnson & Johnson

1,192

139

11.1%

2.8

4.6%

2.73

22

L'Oréal

749

118

12.5%

2.9

2.9%

2.41

23

Cummins

148

149

11.5%

5.2

4.7%

2.16

24

Toyota

1,322

23

3.6%

10.6

13.4%

2.16

25

Home Depot

268

44

14.1%

4.6

5.6%

2.11

Notes: 
1. Gartner Opinion and Peer Opinion: Based on each panel's forced-rank ordering against the definition of "DDVN orchestrator" 
2. ROA: ((2014 net income / 2014 total assets) * 50%) + ((2013 net income / 2013 total assets) * 30%) + ((2012 net income / 2012 total assets) * 20%) 
3. Inventory Turns: 2014 cost of goods sold / 2014 quarterly average inventory 
4. Revenue Growth: ((change in revenue 2014-2013) * 50%) + ((change in revenue 2013-2012) * 30%) + ((change in revenue 2012-2011) * 20%) 
5. Composite Score: (Peer Opinion * 25%) + (Gartner Research Opinion * 25%) + (ROA * 25%) + (Inventory Turns * 15%) + (Revenue Growth * 10%) 
2014 data used where available. Where unavailable, latest available full-year data used. All raw data normalized to a 10-point scale prior to composite calculation. "Ranks" for tied composite scores are determined using next decimal point comparison.