APi (APG) Depreciation and Depletion (2019 - 2026)
APi's Depreciation and Depletion was $21 million in Q3 2026, unchanged from $21 million a year earlier and unchanged from the prior quarter.
APi (APG) Depreciation and Depletion (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, APi's Depreciation and Depletion was $85 million through Sep 30, 2026, up 2.4% year-over-year; for FY2025, it came in at $85 million, up 6.3% from FY2024.
- Depreciation and Depletion has now increased for four consecutive years, with a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $80 million in FY2024 (+1.3%), $79 million in FY2023 (+2.6%), $77 million in FY2022 (+2.7%) and $75 million in FY2021 (-7.4%).
- Quarterly Depreciation and Depletion has moved between $16 million (Q4 2021) and $22 million (Q4 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion was higher in four of the last eight quarters, with growth averaging 3.2%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2023 (growth of 17.6%); the worst was Q4 2021 (a decline of 15.8%).
- Per Business Quant data, APG's Depreciation and Depletion in the three quarters before Q3 2026 was $21 million (Q2 2026), $21 million (Q1 2026) and $22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 155.46 Bn | 113.39 Bn | 5.98 Bn | 150.67 Mn |
| 2 | Cintas | 91.19 Bn | 90.27 Bn | 1.55 Bn | 78.92 Mn |
| 3 | Iron Mountain | 33.43 Bn | 32.62 Bn | 1.06 Bn | 211.04 Mn |
| 4 | APi | 18.50 Bn | 15.72 Bn | 770.00 Mn | 21.00 Mn |
| 5 | Rollins | 18.35 Bn | 17.89 Bn | 582.90 Mn | - |
| 6 | UL Solutions | 16.47 Bn | 14.50 Bn | 423.00 Mn | - |
| 7 | Aramark | 14.20 Bn | 12.21 Bn | 430.34 Mn | - |
| 8 | Rentokil Initial | 12.12 Bn | 5.63 Bn | - | - |
| 9 | Gartner | 12.05 Bn | 5.53 Bn | 1.07 Bn | 25.04 Mn |
| 10 | Booz Allen Hamilton Holding | 10.28 Bn | 7.80 Bn | 1.45 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.00 Mn |
| Jun 30, 2026 | 21.00 Mn |
| Mar 31, 2026 | 21.00 Mn |
| Dec 31, 2025 | 22.00 Mn |
| Sep 30, 2025 | 21.00 Mn |
| Jun 30, 2025 | 22.00 Mn |
| Mar 31, 2025 | 20.00 Mn |
| Dec 31, 2024 | 20.00 Mn |
| Sep 30, 2024 | 21.00 Mn |
| Jun 30, 2024 | 20.00 Mn |
| Mar 31, 2024 | 19.00 Mn |
| Dec 31, 2023 | 20.00 Mn |
| Sep 30, 2023 | 21.00 Mn |
| Jun 30, 2023 | 19.00 Mn |
| Mar 31, 2023 | 19.00 Mn |
| Dec 31, 2022 | 17.00 Mn |
| Sep 30, 2022 | 22.00 Mn |
| Jun 30, 2022 | 19.00 Mn |
| Mar 31, 2022 | 19.00 Mn |
| Dec 31, 2021 | 16.00 Mn |
APi Depreciation and Depletion 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=depreciation-and-depletion&ticker=APG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "APG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();