Abm Industries (ABM) Return on Sales [ROS] (2009 - 2026)
Abm Industries (ABM) recorded Return on Sales [ROS] of 3.95% in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 0.20 percentage points from 3.75% a year earlier and up 0.15 percentage points from the prior quarter.
Abm Industries (ABM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Abm Industries' Return on Sales [ROS] came in at 3.52% as of Jul 31, 2026, up 0.47 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 3.56%, up 1.03 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +1.97 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 2.54% in FY2024 (-2.52 pp), 5.06% in FY2023 (+0.59 pp), 4.47% in FY2022 (+1.16 pp) and 3.31% in FY2021 (+1.71 pp).
- The fiscal Q3 2026 figure is the highest quarterly Return on Sales [ROS] since fiscal Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -0.05 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 5.13 percentage points in fiscal Q3 2022, against a drop of 5.06 percentage points in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 3.79% (Q2 2026), 3.33% (Q1 2026) and 2.98% (Q4 2025).
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 | Abm Industries | 2.87 Bn | 2.46 Bn | 286.10 Mn | 3.95% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.95% |
| Apr 30, 2026 | 3.79% |
| Jan 31, 2026 | 3.33% |
| Oct 31, 2025 | 2.98% |
| Jul 31, 2025 | 3.75% |
| Apr 30, 2025 | 3.90% |
| Jan 31, 2025 | 3.67% |
| Oct 31, 2024 | 0.88% |
| Jul 31, 2024 | 1.79% |
| Apr 30, 2024 | 4.03% |
| Jan 31, 2024 | 3.58% |
| Oct 31, 2023 | 5.08% |
| Jul 31, 2023 | 6.85% |
| Apr 30, 2023 | 4.67% |
| Jan 31, 2023 | 3.59% |
| Oct 31, 2022 | 3.93% |
| Jul 31, 2022 | 4.52% |
| Apr 30, 2022 | 3.95% |
| Jan 31, 2022 | 5.47% |
| Oct 31, 2021 | 3.28% |
Abm Industries 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=ABM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ABM", "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=ABM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();