Reliability (RLBY) Return on Sales [ROS] (2019 - 2026)
Reliability's Return on Sales [ROS] was -1.55% in Q1 2026, up 6.50 percentage points from -8.05% a year earlier but down 2.11 percentage points from the prior quarter.
Powered by 
Analysis
Reliability (RLBY) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Reliability's Return on Sales [ROS] was -2.48% through Mar 31, 2026, up 1.15 percentage points year-over-year; for FY2025, it was -4.01%, down 1.06 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -0.62 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -2.95% in FY2024 (+0.54 pp), -3.49% in FY2023 (+0.03 pp), -3.52% in FY2022 (-2.38 pp) and -1.15% in FY2021 (+2.24 pp).
- Quarterly Return on Sales [ROS] has moved between -9.94% (Q1 2022) and 0.57% (Q4 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +0.46 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2021 (a gain of 6.78 percentage points); the worst was Q1 2022 (a drop of 8.86 percentage points).
- Per Business Quant data, RLBY's Return on Sales [ROS] in the three quarters before Q1 2026 was 0.57% (Q4 2025), -4.21% (Q3 2025) and -5.36% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Reliability | 15.00 Mn | 13.41 Mn | 770,000.00 | -1.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.55% |
| Dec 31, 2025 | 0.57% |
| Sep 30, 2025 | -4.21% |
| Jun 30, 2025 | -5.36% |
| Mar 31, 2025 | -8.05% |
| Dec 31, 2024 | -2.52% |
| Sep 30, 2024 | -1.99% |
| Jun 30, 2024 | -3.01% |
| Mar 31, 2024 | -4.49% |
| Dec 31, 2023 | -2.36% |
| Sep 30, 2023 | -4.23% |
| Jun 30, 2023 | -3.14% |
| Mar 31, 2023 | -4.27% |
| Dec 31, 2022 | -1.00% |
| Sep 30, 2022 | -0.77% |
| Jun 30, 2022 | -3.24% |
| Mar 31, 2022 | -9.94% |
| Dec 31, 2021 | -0.17% |
| Sep 30, 2021 | -0.91% |
| Jun 30, 2021 | -3.17% |
API Access
Reliability Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=RLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=RLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();