Iron Mountain (IRM) Other Operating Expenses (2009 - 2026)
Iron Mountain's Other Operating Expenses came in at $971.8 million for Q2 2026, up 20.1% from $809.03 million a year earlier and up 7.9% from the prior quarter.
Iron Mountain (IRM) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Iron Mountain reported Other Operating Expenses of $3.61 billion, up 18.3% year-over-year; for FY2025, it was $3.32 billion, up 14.5% from FY2024.
- Other Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $2.9 billion in FY2024 (+13.9%), $2.55 billion in FY2023 (+16.5%), $2.19 billion in FY2022 (+26.5%) and $1.73 billion in FY2021 (+24.0%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2009.
- Year-over-year, Other Operating Expenses has increased for 20 consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 6.3% (Q1 2023) and 175.1% (Q4 2021) over the last five years.
- Business Quant data shows IRM's Other Operating Expenses at $900.32 million (Q1 2026), $886.15 million (Q4 2025) and $848.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 155.22 Bn | 113.15 Bn | 5.98 Bn |
| 2 | Cintas | 91.35 Bn | 90.43 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.36 Bn | 32.55 Bn | 1.06 Bn |
| 4 | APi | 18.55 Bn | 15.77 Bn | 770.00 Mn |
| 5 | Rollins | 18.35 Bn | 17.90 Bn | 582.90 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.50 Bn | 423.00 Mn |
| 7 | Aramark | 14.08 Bn | 12.03 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 12.08 Bn | 5.60 Bn | - |
| 9 | Gartner | 12.05 Bn | 5.53 Bn | 1.07 Bn |
| 10 | Booz Allen Hamilton Holding | 10.29 Bn | 7.81 Bn | 1.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -8.29 Mn |
| Jun 30, 2026 | -11.51 Mn |
| Mar 31, 2026 | -7.59 Mn |
| Dec 31, 2025 | -16.67 Mn |
| Sep 30, 2025 | -3.37 Mn |
| Jun 30, 2025 | 962,000.00 |
| Mar 31, 2025 | -5.57 Mn |
| Dec 31, 2024 | 2.07 Mn |
| Sep 30, 2024 | -5.09 Mn |
| Jun 30, 2024 | -2.79 Mn |
| Mar 31, 2024 | -389,000.00 |
| Dec 31, 2023 | -6.16 Mn |
| Sep 30, 2023 | 4.42 Mn |
| Jun 30, 2023 | 1.51 Mn |
| Mar 31, 2023 | 13.06 Mn |
| Dec 31, 2022 | 27.14 Mn |
| Sep 30, 2022 | 14.17 Mn |
| Jun 30, 2022 | 51.25 Mn |
| Mar 31, 2022 | 705,000.00 |
| Dec 31, 2021 | 37.72 Mn |
Iron Mountain Other Operating Expenses 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=other-operating-expenses&ticker=IRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();