Iron Mountain (IRM) Cost of Revenue (2009 - 2026)
Iron Mountain's Cost of Revenue was $958.61 million in Q2 2026, up 27.0% from $754.84 million a year earlier and up 7.7% from the prior quarter.
Iron Mountain (IRM) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Iron Mountain's Cost of Revenue was $3.46 billion through Jun 30, 2026, up 22.3% year-over-year; for FY2025, it came in at $3.08 billion, up 14.2% from FY2024.
- Cost of Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $2.7 billion in FY2024 (+14.4%), $2.36 billion in FY2023 (+7.7%), $2.19 billion in FY2022 (+16.0%) and $1.89 billion in FY2021 (+7.4%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q1 2009.
- Compared with a year earlier, Cost of Revenue has increased for 21 straight quarters, with growth averaging 17.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 4.6% (Q1 2023) to 27.0% (Q2 2026).
- Per Business Quant data, IRM's Cost of Revenue in the three quarters before Q2 2026 was $889.8 million (Q1 2026), $822.5 million (Q4 2025) and $791.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 12.69 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 1.46 Bn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 926.65 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 506.77 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 1.78 Bn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 400.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 4.63 Bn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 433.14 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn | 200.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 926.65 Mn |
| Jun 30, 2026 | 958.61 Mn |
| Mar 31, 2026 | 889.80 Mn |
| Dec 31, 2025 | 822.50 Mn |
| Sep 30, 2025 | 791.94 Mn |
| Jun 30, 2025 | 754.84 Mn |
| Mar 31, 2025 | 710.20 Mn |
| Dec 31, 2024 | 688.93 Mn |
| Sep 30, 2024 | 678.39 Mn |
| Jun 30, 2024 | 675.97 Mn |
| Mar 31, 2024 | 653.26 Mn |
| Dec 31, 2023 | 601.33 Mn |
| Sep 30, 2023 | 592.20 Mn |
| Jun 30, 2023 | 592.64 Mn |
| Mar 31, 2023 | 571.63 Mn |
| Dec 31, 2022 | 539.98 Mn |
| Sep 30, 2022 | 546.04 Mn |
| Jun 30, 2022 | 556.48 Mn |
| Mar 31, 2022 | 546.62 Mn |
| Dec 31, 2021 | 479.08 Mn |
Iron Mountain Cost of Revenue 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=cost-of-revenue&ticker=IRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();