Iron Mountain (IRM) Selling, General & Administrative (2009 - 2026)
Iron Mountain's Selling, General & Administrative was $402.34 million in Q2 2026, up 3.0% from $390.46 million a year earlier and up 7.9% from the prior quarter.
Iron Mountain (IRM) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Iron Mountain's Selling, General & Administrative was $1.45 billion through Jun 30, 2026, up 3.8% year-over-year; for FY2025, it came in at $1.39 billion, up 4.1% from FY2024.
- Selling, General & Administrative has now increased for five consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $1.34 billion in FY2024 (+8.4%), $1.24 billion in FY2023 (+8.4%), $1.14 billion in FY2022 (+11.5%) and $1.02 billion in FY2021 (+7.7%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q1 2009.
- Compared with a year earlier, Selling, General & Administrative has increased for three straight quarters, with growth averaging 5.8% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2022 (growth of 18.1%); the worst was Q3 2025 (a decline of 2.0%).
- Per Business Quant data, IRM's Selling, General & Administrative in the three quarters before Q2 2026 was $372.76 million (Q1 2026), $338.46 million (Q4 2025) and $335.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 78.63 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 334.98 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 402.34 Mn |
| Mar 31, 2026 | 372.76 Mn |
| Dec 31, 2025 | 338.46 Mn |
| Sep 30, 2025 | 335.25 Mn |
| Jun 30, 2025 | 390.46 Mn |
| Mar 31, 2025 | 329.74 Mn |
| Dec 31, 2024 | 333.31 Mn |
| Sep 30, 2024 | 341.93 Mn |
| Jun 30, 2024 | 344.84 Mn |
| Mar 31, 2024 | 319.47 Mn |
| Dec 31, 2023 | 314.93 Mn |
| Sep 30, 2023 | 315.03 Mn |
| Jun 30, 2023 | 311.81 Mn |
| Mar 31, 2023 | 294.52 Mn |
| Dec 31, 2022 | 279.16 Mn |
| Sep 30, 2022 | 285.30 Mn |
| Jun 30, 2022 | 295.39 Mn |
| Mar 31, 2022 | 280.72 Mn |
| Dec 31, 2021 | 262.46 Mn |
| Sep 30, 2021 | 241.60 Mn |
Iron Mountain Selling, General & Administrative 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=selling-general-and-administrative&ticker=IRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();