Fastenal (FAST) Return on Capital Employed [ROCE] (2009 - 2026)
Fastenal (FAST) reported Return on Capital Employed [ROCE] of 42.19% for Q3 2026, up 4.01 percentage points from 38.18% a year earlier and up 1.56 percentage points from the prior quarter.
Fastenal (FAST) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Fastenal posted Return on Capital Employed [ROCE] of 39.80%, up 1.02 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +4.88 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 38.78% in FY2024 (-0.98 pp), 39.76% in FY2023 (-0.24 pp), 40.00% in FY2022 (+4.71 pp) and 35.29% in FY2021 (+0.37 pp).
- The Q3 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q1 2015.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last four quarters, with an average year-over-year change of +0.41 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2023 (a gain of 4.63 percentage points); the low point was Q4 2024 (a drop of 2.06 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 40.62% (Q2 2026), 39.69% (Q1 2026) and 37.90% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 67.67 Bn | 65.03 Bn | 2.01 Bn | 40.84% |
| 2 | United Rentals | 65.48 Bn | 64.60 Bn | 2.05 Bn | 16.52% |
| 3 | Fastenal | 60.80 Bn | 59.80 Bn | 1.10 Bn | 42.19% |
| 4 | Ferguson Enterprises | 45.51 Bn | 42.73 Bn | 2.32 Bn | 23.37% |
| 5 | Sunbelt Rentals Holdings | 31.50 Bn | 31.38 Bn | 1.25 Bn | 12.18% |
| 6 | Reliance | 21.26 Bn | 20.31 Bn | 1.45 Bn | 15.15% |
| 7 | Wesco International | 14.25 Bn | 11.29 Bn | 1.57 Bn | 11.57% |
| 8 | Watsco | 11.59 Bn | 9.28 Bn | 578.93 Mn | 18.08% |
| 9 | Avantor | 10.49 Bn | 9.07 Bn | 534.80 Mn | 4.76% |
| 10 | Applied Industrial Technologies | 10.39 Bn | 10.28 Bn | 392.21 Mn | 22.94% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.19% |
| Jun 30, 2026 | 40.62% |
| Mar 31, 2026 | 39.69% |
| Dec 31, 2025 | 37.90% |
| Sep 30, 2025 | 38.18% |
| Jun 30, 2025 | 37.90% |
| Mar 31, 2025 | 37.85% |
| Dec 31, 2024 | 37.46% |
| Sep 30, 2024 | 38.66% |
| Jun 30, 2024 | 39.41% |
| Mar 31, 2024 | 39.52% |
| Dec 31, 2023 | 39.51% |
| Sep 30, 2023 | 38.47% |
| Jun 30, 2023 | 39.06% |
| Mar 31, 2023 | 40.24% |
| Dec 31, 2022 | 38.27% |
| Sep 30, 2022 | 37.34% |
| Jun 30, 2022 | 36.97% |
| Mar 31, 2022 | 35.61% |
| Dec 31, 2021 | 34.02% |
Fastenal 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=FAST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FAST", "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=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();