Iron Mountain (IRM) Accumulated Expenses (2009 - 2026)
Iron Mountain's (IRM) quarterly Accumulated Expenses came in at $1.4 billion in Q2 2026, up 15.78% year-over-year from $1.2 billion in Q2 2025, and up 11.8% quarter-over-quarter from $1.3 billion in Q1 2026.
Iron Mountain (IRM) Accumulated Expenses (2009 - 2026) Analysis & Trends
Iron Mountain has disclosed Accumulated Expenses across 18 years of filings, most recently posting $1.4 billion for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 15.78% year-over-year to $1.4 billion; the TTM figure through Jun 2026 stood at $1.4 billion (up 15.78% YoY), while the FY2025 annual figure was $1.3 billion, down 5.55% from the prior year.
- Accumulated Expenses came in at $1.4 billion for Q2 2026 at Iron Mountain, up from $1.3 billion in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $1.4 billion in Q2 2026 to a low of $883.3 million in Q1 2022.
- Average Accumulated Expenses over 5 years is $1.1 billion, with a median of $1.1 billion recorded in 2023.
- Year-over-year, Accumulated Expenses rose 21.16% in 2023 and retreated 10.64% in 2025.
- Over 5 years, Accumulated Expenses stood at $1.0 billion in 2022, then grew by 21.16% to $1.3 billion in 2023, then grew by 9.3% to $1.4 billion in 2024, then retreated by 5.55% to $1.3 billion in 2025, then climbed by 10.14% to $1.4 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $1.4 billion in Q2 2026, $1.3 billion in Q1 2026, and $1.3 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.42 Bn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 1.15 Bn |
| Jun 30, 2025 | 1.23 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | 1.37 Bn |
| Sep 30, 2024 | 1.29 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 30, 2023 | 1.11 Bn |
| Jun 30, 2023 | 1.14 Bn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 929.57 Mn |
| Jun 30, 2022 | 957.51 Mn |
| Mar 31, 2022 | 883.32 Mn |
| Dec 31, 2021 | 1.03 Bn |
| Sep 30, 2021 | 926.36 Mn |
Iron Mountain Accumulated 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=accumulated-expenses&ticker=IRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();