Dnow (DNOW) Return on Capital Employed [ROCE] (2014 - 2026)
Dnow's Return on Capital Employed [ROCE] came in at -7.08% for Q2 2026, down 14.91 percentage points from 7.83% a year earlier and down 0.81 percentage points from the prior quarter.
Dnow (DNOW) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2025, Dnow's Return on Capital Employed [ROCE] was -5.17%, down 14.78 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last three years, though with a five-year change of +35.70 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 9.61% in FY2024 (-4.68 pp), 14.29% in FY2023 (-2.66 pp), 16.95% in FY2022 (+15.64 pp) and 1.31% in FY2021 (+42.19 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] since Q2 2021.
- Year-over-year, Return on Capital Employed [ROCE] has declined for 11 consecutive quarters, with an average year-over-year change of -7.92 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2021 (a gain of 60.91 percentage points), and the weakest in Q1 2026 (a drop of 15.63 percentage points).
- Business Quant data shows DNOW's Return on Capital Employed [ROCE] at -6.27% (Q1 2026), -6.00% (Q4 2025) and 8.49% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 16.52% |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 40.84% |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 42.19% |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 23.37% |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 12.18% |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 15.15% |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 11.57% |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 18.08% |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 22.94% |
| 10 | Dnow | 2.53 Bn | 2.03 Bn | 265.00 Mn | -6.67% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -6.67% |
| Jun 30, 2026 | -7.08% |
| Mar 31, 2026 | -6.27% |
| Dec 31, 2025 | -6.00% |
| Sep 30, 2025 | 8.49% |
| Jun 30, 2025 | 7.83% |
| Mar 31, 2025 | 9.35% |
| Dec 31, 2024 | 9.38% |
| Sep 30, 2024 | 10.36% |
| Jun 30, 2024 | 11.49% |
| Mar 31, 2024 | 12.44% |
| Dec 31, 2023 | 13.90% |
| Sep 30, 2023 | 14.67% |
| Jun 30, 2023 | 17.17% |
| Mar 31, 2023 | 16.30% |
| Dec 31, 2022 | 15.20% |
| Sep 30, 2022 | 13.14% |
| Jun 30, 2022 | 8.91% |
| Mar 31, 2022 | 5.42% |
| Dec 31, 2021 | 1.22% |
Dnow 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=DNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DNOW", "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=DNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();