Reliability (RLBY) Return on Capital Employed [ROCE] (2012 - 2026)
Reliability's Return on Capital Employed [ROCE] was -8.79% in Q1 2026, up 2.05 percentage points from -10.84% a year earlier and up 3.32 percentage points from the prior quarter.
Reliability (RLBY) Return on Capital Employed [ROCE] (2012 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Reliability came in at -10.32%, up 0.60 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +2.41 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -10.92% in FY2024 (-3.27 pp), -7.66% in FY2023 (+2.33 pp), -9.99% in FY2022 (-6.41 pp) and -3.58% in FY2021 (+9.15 pp).
- The Q1 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2023.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in 1 of the last eight quarters, with an average year-over-year change of -1.95 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2021 (a gain of 14.24 percentage points); the worst was Q4 2022 (a drop of 7.59 percentage points).
- Per Business Quant data, RLBY's Return on Capital Employed [ROCE] in the three quarters before Q1 2026 was -12.12% (Q4 2025), -15.25% (Q3 2025) and -12.98% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 33.88% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 8.75% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 7.98% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 31.56% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 25.89% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 29.65% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Reliability | 15.00 Mn | 13.41 Mn | 770,000.00 | -8.79% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -8.79% |
| Dec 31, 2025 | -12.12% |
| Sep 30, 2025 | -15.25% |
| Jun 30, 2025 | -12.98% |
| Mar 31, 2025 | -10.84% |
| Dec 31, 2024 | -10.53% |
| Sep 30, 2024 | -8.98% |
| Jun 30, 2024 | -10.36% |
| Mar 31, 2024 | -9.73% |
| Dec 31, 2023 | -9.51% |
| Sep 30, 2023 | -8.35% |
| Jun 30, 2023 | -5.92% |
| Mar 31, 2023 | -5.65% |
| Dec 31, 2022 | -10.78% |
| Sep 30, 2022 | -9.34% |
| Jun 30, 2022 | -10.39% |
| Mar 31, 2022 | -8.53% |
| Dec 31, 2021 | -3.19% |
| Sep 30, 2021 | -2.80% |
| Jun 30, 2021 | -7.89% |
Reliability 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=RLBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "RLBY", "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=RLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();