Iron Mountain (IRM) Total Current Liabilities (2009 - 2026)
Iron Mountain (IRM) posted Total Current Liabilities of $2.9 billion for Q2 2026, down 3.4% from $3 billion a year earlier but up 9.0% from the prior quarter.
Iron Mountain (IRM) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Iron Mountain's Total Current Liabilities came in at $2.62 billion, down 15.2% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In prior years, Iron Mountain's Total Current Liabilities was $3.09 billion in FY2024 (+38.1%), $2.24 billion in FY2023 (+16.6%), $1.92 billion in FY2022 (-5.0%) and $2.02 billion in FY2021 (+1.1%).
- Quarterly Total Current Liabilities has run from a low of $1.7 billion in Q1 2022 to a high of $3.09 billion in Q4 2024 over five years.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last three quarters, with growth averaging 16.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2025, with growth of 40.0%; the weakest was Q4 2025, with a decline of 15.2%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $2.66 billion (Q1 2026), $2.62 billion (Q4 2025) and $2.86 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 3.00 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 938.10 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | -6.00 Mn |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 1.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.90 Bn |
| Mar 31, 2026 | 2.66 Bn |
| Dec 31, 2025 | 2.62 Bn |
| Sep 30, 2025 | 2.86 Bn |
| Jun 30, 2025 | 3.00 Bn |
| Mar 31, 2025 | 2.84 Bn |
| Dec 31, 2024 | 3.09 Bn |
| Sep 30, 2024 | 2.31 Bn |
| Jun 30, 2024 | 2.16 Bn |
| Mar 31, 2024 | 2.03 Bn |
| Dec 31, 2023 | 2.24 Bn |
| Sep 30, 2023 | 1.99 Bn |
| Jun 30, 2023 | 2.06 Bn |
| Mar 31, 2023 | 2.01 Bn |
| Dec 31, 2022 | 1.92 Bn |
| Sep 30, 2022 | 1.73 Bn |
| Jun 30, 2022 | 1.78 Bn |
| Mar 31, 2022 | 1.70 Bn |
| Dec 31, 2021 | 2.02 Bn |
| Sep 30, 2021 | 1.83 Bn |
Iron Mountain Total Current Liabilities 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=total-current-liabilities&ticker=IRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();