Aaon (AAON) Operating Expenses (2010 - 2026)
Aaon's Operating Expenses was $83.61 million in Q2 2026, up 41.4% from $59.15 million a year earlier and up 23.1% from the prior quarter.
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Analysis
Aaon (AAON) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aaon's Operating Expenses was $280.55 million through Jun 30, 2026, up 35.4% year-over-year; for FY2025, it was $239.48 million, up 27.4% from FY2024.
- Operating Expenses has now increased for seven consecutive years, with a five-year compound annual growth rate of 31.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $188.01 million in FY2024 (+9.6%), $171.54 million in FY2023 (+54.8%), $110.82 million in FY2022 (+61.6%) and $68.6 million in FY2021 (+13.4%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Operating Expenses has increased for seven straight quarters, with growth averaging 22.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2022 (growth of 81.7%); the worst was Q3 2024 (a decline of 5.5%).
- Per Business Quant data, AAON's Operating Expenses in the three quarters before Q2 2026 was $67.91 million (Q1 2026), $65.81 million (Q4 2025) and $63.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Aaon | 6.82 Bn | 6.82 Bn | 152.49 Mn | 83.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.61 Mn |
| Mar 31, 2026 | 67.91 Mn |
| Dec 31, 2025 | 65.81 Mn |
| Sep 30, 2025 | 63.23 Mn |
| Jun 30, 2025 | 59.15 Mn |
| Mar 31, 2025 | 51.29 Mn |
| Dec 31, 2024 | 48.19 Mn |
| Sep 30, 2024 | 48.64 Mn |
| Jun 30, 2024 | 45.90 Mn |
| Mar 31, 2024 | 45.29 Mn |
| Dec 31, 2023 | 47.86 Mn |
| Sep 30, 2023 | 51.47 Mn |
| Jun 30, 2023 | 39.27 Mn |
| Mar 31, 2023 | 32.94 Mn |
| Dec 31, 2022 | 31.94 Mn |
| Sep 30, 2022 | 28.89 Mn |
| Jun 30, 2022 | 26.93 Mn |
| Mar 31, 2022 | 23.06 Mn |
| Dec 31, 2021 | 21.11 Mn |
| Sep 30, 2021 | 15.90 Mn |
API Access
Aaon Operating Expenses 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=operating-expenses&ticker=AAON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AAON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();