Aaon (AAON) Depreciation and Depletion (2010 - 2026)
Aaon (AAON) recorded Depreciation and Depletion of $22.15 million in Q2 2026, up 21.3% from $18.27 million a year earlier and up 14.4% from the prior quarter.
Aaon (AAON) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a TTM basis, Aaon's Depreciation and Depletion came in at $78.68 million as of Jun 30, 2026, up 21.7% year-over-year; for FY2025, it was $72.3 million, up 33.9% from FY2024.
- Annual Depreciation and Depletion has increased for three straight years, with a four-year compound annual growth rate of 461.0% (FY2021 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $54 million in FY2024 (+31.3%), $41.14 million in FY2023 (+30.6%), $31.51 million in FY2022 and $73,000 in FY2021.
- The Q2 2026 figure is the highest quarterly Depreciation and Depletion in data going back to Q3 2010.
- On a year-over-year basis, Depreciation and Depletion has increased for eight consecutive quarters, with growth averaging 31.0% over the last eight quarters.
- The year-over-year growth in Depreciation and Depletion has ranged between 14.8% (Q1 2026) and 43.8% (Q1 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at $19.36 million (Q1 2026), $18.75 million (Q4 2025) and $18.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.08 Bn | 95.82 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 91.92 Bn | 89.68 Bn | 2.47 Bn | 45.00 Mn |
| 3 | Comfort Systems Usa | 59.34 Bn | 54.59 Bn | 844.23 Mn | 20.04 Mn |
| 4 | Carrier Global | 45.52 Bn | 40.15 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 24.55 Bn | 21.15 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.62 Bn | 13.36 Bn | 548.70 Mn | 87.60 Mn |
| 7 | Masco | 13.47 Bn | 11.57 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.13 Bn | 11.84 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 12.95 Bn | 9.29 Bn | 568.40 Mn | 18.60 Mn |
| 10 | Aaon | 6.78 Bn | 6.78 Bn | 152.49 Mn | 22.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.15 Mn |
| Mar 31, 2026 | 19.36 Mn |
| Dec 31, 2025 | 18.75 Mn |
| Sep 30, 2025 | 18.42 Mn |
| Jun 30, 2025 | 18.27 Mn |
| Mar 31, 2025 | 16.87 Mn |
| Dec 31, 2024 | 14.90 Mn |
| Sep 30, 2024 | 14.64 Mn |
| Jun 30, 2024 | 12.74 Mn |
| Mar 31, 2024 | 11.73 Mn |
| Dec 31, 2023 | 10.40 Mn |
| Sep 30, 2023 | 11.30 Mn |
| Mar 31, 2018 | 4.13 Mn |
| Dec 31, 2017 | 3.98 Mn |
| Sep 30, 2017 | 3.74 Mn |
| Jun 30, 2017 | 3.64 Mn |
| Mar 31, 2017 | 3.64 Mn |
| Dec 31, 2016 | 3.49 Mn |
| Sep 30, 2016 | 3.20 Mn |
| Jun 30, 2016 | 3.18 Mn |
Aaon 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=AAON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "AAON", "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=AAON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();