Aaon (AAON) EBITDA (2010 - 2026)
Aaon (AAON) posted EBITDA of $92.7 million for Q2 2026, up 113.0% from $43.52 million a year earlier and up 18.9% from the prior quarter.
Aaon (AAON) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Aaon was $298.53 million, up 31.3% year-over-year; for FY2025, it came in at $225.44 million, down 17.1% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In prior years, Aaon's EBITDA was $271.85 million in FY2024 (-0.8%), $273.96 million in FY2023 (+69.3%), $161.87 million in FY2022 (+62.5%) and $99.6 million in FY2021 (-21.9%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 10.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2022, with growth of 323.1%; the weakest was Q4 2021, with a decline of 59.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $77.96 million (Q1 2026), $64.31 million (Q4 2025) and $63.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Aaon | 6.82 Bn | 6.82 Bn | 152.49 Mn | 92.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.70 Mn |
| Mar 31, 2026 | 77.96 Mn |
| Dec 31, 2025 | 64.31 Mn |
| Sep 30, 2025 | 63.55 Mn |
| Jun 30, 2025 | 43.52 Mn |
| Mar 31, 2025 | 54.05 Mn |
| Dec 31, 2024 | 46.98 Mn |
| Sep 30, 2024 | 82.78 Mn |
| Jun 30, 2024 | 81.69 Mn |
| Mar 31, 2024 | 60.41 Mn |
| Dec 31, 2023 | 76.91 Mn |
| Sep 30, 2023 | 76.87 Mn |
| Jun 30, 2023 | 65.70 Mn |
| Mar 31, 2023 | 54.48 Mn |
| Dec 31, 2022 | 56.08 Mn |
| Sep 30, 2022 | 46.02 Mn |
| Jun 30, 2022 | 29.68 Mn |
| Mar 31, 2022 | 30.09 Mn |
| Dec 31, 2021 | 13.25 Mn |
| Sep 30, 2021 | 27.75 Mn |
Aaon EBITDA 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=ebitda&ticker=AAON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AAON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();