Iron Mountain (IRM) EBITDA (2009 - 2026)
Iron Mountain (IRM) posted EBITDA of $662.99 million for Q2 2026, up 27.4% from $520.27 million a year earlier but down 1.2% from the prior quarter.
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Analysis
Iron Mountain (IRM) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Iron Mountain was $2.54 billion, up 25.3% year-over-year; for FY2025, it came in at $2.22 billion, up 14.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In prior years, Iron Mountain's EBITDA was $1.94 billion in FY2024 (+12.9%), $1.71 billion in FY2023 (-4.5%), $1.8 billion in FY2022 (+15.8%) and $1.55 billion in FY2021 (-3.3%).
- Quarterly EBITDA has run from a low of $360.28 million in Q3 2021 to a high of $671.12 million in Q1 2026 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last ten quarters, with growth averaging 19.1% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2026, with growth of 35.8%; the weakest was Q4 2021, with a decline of 37.5%.
- According to Business Quant data, EBITDA for the three prior quarters was $671.12 million (Q1 2026), $626.91 million (Q4 2025) and $579.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 172.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 662.99 Mn |
| Mar 31, 2026 | 671.12 Mn |
| Dec 31, 2025 | 626.91 Mn |
| Sep 30, 2025 | 579.55 Mn |
| Jun 30, 2025 | 520.27 Mn |
| Mar 31, 2025 | 494.30 Mn |
| Dec 31, 2024 | 523.72 Mn |
| Sep 30, 2024 | 490.07 Mn |
| Jun 30, 2024 | 460.94 Mn |
| Mar 31, 2024 | 461.28 Mn |
| Dec 31, 2023 | 433.98 Mn |
| Sep 30, 2023 | 442.08 Mn |
| Jun 30, 2023 | 411.66 Mn |
| Mar 31, 2023 | 427.09 Mn |
| Dec 31, 2022 | 443.36 Mn |
| Sep 30, 2022 | 465.31 Mn |
| Jun 30, 2022 | 476.71 Mn |
| Mar 31, 2022 | 410.13 Mn |
| Dec 31, 2021 | 373.76 Mn |
| Sep 30, 2021 | 360.28 Mn |
API Access
Iron Mountain EBITDA 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=ebitda&ticker=IRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();