Greenbrier Companies (GBX) Return on Capital Employed [ROCE] (2016 - 2019)
Greenbrier Companies (GBX) reported Return on Capital Employed [ROCE] of 7.02% for fiscal Q4 2019 (quarter ended Aug 31, 2019), down 3.73 percentage points from 10.74% a year earlier.
Greenbrier Companies (GBX) Return on Capital Employed [ROCE] (2016 - 2019) Analysis & Trends
For FY2019 (ended Aug 31, 2019), Greenbrier Companies posted Return on Capital Employed [ROCE] of 7.08%, down 3.74 percentage points from FY2018.
- Return on Capital Employed [ROCE] has declined for three consecutive fiscal years, with a three-year change of -17.71 percentage points (FY2016 to FY2019).
- By fiscal year, Return on Capital Employed [ROCE] came in at 10.82% in FY2018 (-2.11 pp), 12.93% in FY2017 (-11.86 pp) and 24.79% in FY2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 41.86% |
| 10 | Greenbrier Companies | 1.26 Bn | -84.80 Mn | 81.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2019 | 7.02% |
| Aug 31, 2018 | 10.74% |
| Aug 31, 2017 | 11.93% |
| Aug 31, 2016 | 24.80% |
Greenbrier Companies Return on Capital Employed [ROCE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=GBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GBX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=GBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();