Iron Mountain (IRM) Long-Term Debt Repayments (2009 - 2026)
Iron Mountain (IRM) recorded Long-Term Debt Repayments of $6.75 billion in Q2 2026, up 33.1% from $5.07 billion a year earlier and up 72.3% from the prior quarter.
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Analysis
Iron Mountain (IRM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Iron Mountain's Long-Term Debt Repayments came in at $19.32 billion as of Jun 30, 2026, up 14.1% year-over-year; for FY2025, it was $16 billion, up 10.6% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $14.47 billion in FY2024 (-20.4%), $18.19 billion in FY2023 (+56.9%), $11.59 billion in FY2022 (+124.5%) and $5.16 billion in FY2021 (-40.0%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments in data going back to Q1 2009.
- On a year-over-year basis, Long-Term Debt Repayments rose in seven of the last eight quarters, with growth averaging 28.0%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 168.1% in Q3 2022, against a decline of 62.8% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.92 billion (Q1 2026), $3.26 billion (Q4 2025) and $5.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | - |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 302.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | - |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 57.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 11.63 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 | 86.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.75 Bn |
| Mar 31, 2026 | 3.92 Bn |
| Dec 31, 2025 | 3.26 Bn |
| Sep 30, 2025 | 5.39 Bn |
| Jun 30, 2025 | 5.07 Bn |
| Mar 31, 2025 | 2.28 Bn |
| Dec 31, 2024 | 5.50 Bn |
| Sep 30, 2024 | 4.08 Bn |
| Jun 30, 2024 | 3.17 Bn |
| Mar 31, 2024 | 1.73 Bn |
| Dec 31, 2023 | 4.54 Bn |
| Sep 30, 2023 | 3.57 Bn |
| Jun 30, 2023 | 5.44 Bn |
| Mar 31, 2023 | 4.65 Bn |
| Dec 31, 2022 | 3.55 Bn |
| Sep 30, 2022 | 2.69 Bn |
| Jun 30, 2022 | 3.07 Bn |
| Mar 31, 2022 | 2.28 Bn |
| Dec 31, 2021 | 2.54 Bn |
| Sep 30, 2021 | 1.00 Bn |
API Access
Iron Mountain Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=IRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();