Iron Mountain (IRM) Amortizatization of Intangibles (2009 - 2026)
Iron Mountain (IRM) reported Amortizatization of Intangibles of $86.61 million for Q2 2026, up 8.5% from $79.8 million a year earlier and up 3.4% from the prior quarter.
Iron Mountain (IRM) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Iron Mountain's Amortizatization of Intangibles came in at $339.33 million, up 9.2% year-over-year; for FY2025, it came in at $326.32 million, up 9.8% from FY2024.
- Amortizatization of Intangibles has increased for eight consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- By year, Amortizatization of Intangibles came in at $297.19 million in FY2024 (+11.2%), $267.17 million in FY2023 (+0.2%), $266.66 million in FY2022 (+15.0%) and $231.9 million in FY2021 (+4.5%).
- Five-year quarterly Amortizatization of Intangibles spans a low of $58.52 million in Q3 2021 and a high of $87.45 million in Q4 2025.
- Year over year, Amortizatization of Intangibles has now increased in each of the last ten quarters, with growth averaging 10.3% over the last eight quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was Q1 2022 (growth of 22.2%); the low point was Q4 2023 (a decline of 3.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $83.76 million (Q1 2026), $87.45 million (Q4 2025) and $81.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | - |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 48.41 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 86.61 Mn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 68.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | - |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | - |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | - |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Tetra Tech | 8.94 Bn | 8.04 Bn | 243.21 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.61 Mn |
| Mar 31, 2026 | 83.76 Mn |
| Dec 31, 2025 | 87.45 Mn |
| Sep 30, 2025 | 81.51 Mn |
| Jun 30, 2025 | 79.80 Mn |
| Mar 31, 2025 | 77.57 Mn |
| Dec 31, 2024 | 78.89 Mn |
| Sep 30, 2024 | 74.56 Mn |
| Jun 30, 2024 | 71.72 Mn |
| Mar 31, 2024 | 72.02 Mn |
| Dec 31, 2023 | 64.70 Mn |
| Sep 30, 2023 | 71.31 Mn |
| Jun 30, 2023 | 64.80 Mn |
| Mar 31, 2023 | 66.36 Mn |
| Dec 31, 2022 | 66.80 Mn |
| Sep 30, 2022 | 65.42 Mn |
| Jun 30, 2022 | 66.83 Mn |
| Mar 31, 2022 | 67.61 Mn |
| Dec 31, 2021 | 59.55 Mn |
| Sep 30, 2021 | 58.52 Mn |
Iron Mountain Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=IRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();