Iron Mountain (IRM) Return on Sales [ROS] (2009 - 2026)
Iron Mountain's Return on Sales [ROS] was 18.41% in Q2 2026, up 3.23 percentage points from 15.18% a year earlier but down 2.00 percentage points from the prior quarter.
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Analysis
Iron Mountain (IRM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Iron Mountain's Return on Sales [ROS] was 18.76% through Jun 30, 2026, up 2.49 percentage points year-over-year; for FY2025, it was 16.86%, up 0.45 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -5.68 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 16.42% in FY2024 (-0.40 pp), 16.82% in FY2023 (-3.75 pp), 20.57% in FY2022 (+1.55 pp) and 19.02% in FY2021 (-3.52 pp).
- Quarterly Return on Sales [ROS] has moved between 15.01% (Q2 2024) and 22.78% (Q2 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +1.24 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2022 (a gain of 6.15 percentage points); the worst was Q4 2021 (a drop of 23.20 percentage points).
- Per Business Quant data, IRM's Return on Sales [ROS] in the three quarters before Q2 2026 was 20.41% (Q1 2026), 18.50% (Q4 2025) and 17.59% (Q3 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 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 12.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.41% |
| Mar 31, 2026 | 20.41% |
| Dec 31, 2025 | 18.50% |
| Sep 30, 2025 | 17.59% |
| Jun 30, 2025 | 15.18% |
| Mar 31, 2025 | 15.97% |
| Dec 31, 2024 | 17.86% |
| Sep 30, 2024 | 16.13% |
| Jun 30, 2024 | 15.01% |
| Mar 31, 2024 | 16.63% |
| Dec 31, 2023 | 16.25% |
| Sep 30, 2023 | 17.13% |
| Jun 30, 2023 | 15.65% |
| Mar 31, 2023 | 18.31% |
| Dec 31, 2022 | 19.40% |
| Sep 30, 2022 | 22.20% |
| Jun 30, 2022 | 22.78% |
| Mar 31, 2022 | 17.80% |
| Dec 31, 2021 | 16.94% |
| Sep 30, 2021 | 16.05% |
API Access
Iron Mountain 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=IRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IRM", "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=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();