Iron Mountain (IRM) Operating Income (2009 - 2026)
Iron Mountain's Operating Income came in at $373.53 million for Q2 2026, up 43.7% from $259.9 million a year earlier but down 5.5% from the prior quarter.
Iron Mountain (IRM) Operating Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Iron Mountain reported Operating Income of $1.42 billion, up 35.4% year-over-year; for FY2025, it was $1.16 billion, up 15.3% from FY2024.
- Operating Income carries a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Going back by year, Operating Income was $1.01 billion in FY2024 (+9.5%), $921.78 million in FY2023 (-12.2%), $1.05 billion in FY2022 (+22.9%) and $854.17 million in FY2021 (-8.6%).
- The five-year range for quarterly Operating Income is $181.44 million (Q3 2021) to $395.23 million (Q1 2026).
- Year-over-year, Operating Income has increased for ten consecutive quarters, with growth averaging 23.4% over the last eight quarters.
- The fastest year-over-year change in Operating Income over five years came in Q3 2022 (growth of 57.5%), and the weakest in Q4 2021 (a decline of 53.8%).
- Business Quant data shows IRM's Operating Income at $395.23 million (Q1 2026), $341.04 million (Q4 2025) and $308.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 673.04 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 373.53 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 175.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 215.59 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 201.36 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 150.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 378.52 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 157.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 373.53 Mn |
| Mar 31, 2026 | 395.23 Mn |
| Dec 31, 2025 | 341.04 Mn |
| Sep 30, 2025 | 308.59 Mn |
| Jun 30, 2025 | 259.90 Mn |
| Mar 31, 2025 | 254.29 Mn |
| Dec 31, 2024 | 282.44 Mn |
| Sep 30, 2024 | 251.16 Mn |
| Jun 30, 2024 | 230.29 Mn |
| Mar 31, 2024 | 245.62 Mn |
| Dec 31, 2023 | 230.76 Mn |
| Sep 30, 2023 | 237.83 Mn |
| Jun 30, 2023 | 212.53 Mn |
| Mar 31, 2023 | 240.66 Mn |
| Dec 31, 2022 | 248.20 Mn |
| Sep 30, 2022 | 285.76 Mn |
| Jun 30, 2022 | 293.78 Mn |
| Mar 31, 2022 | 222.13 Mn |
| Dec 31, 2021 | 196.40 Mn |
| Sep 30, 2021 | 181.44 Mn |
Iron Mountain Operating Income 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=operating-income&ticker=IRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();