Aaon (AAON) Profit After Tax (2010 - 2026)
Aaon (AAON) recorded Profit After Tax of $56.66 million in Q2 2026, up 265.8% from $15.49 million a year earlier and up 42.3% from the prior quarter.
Aaon (AAON) Profit After Tax (2010 - 2026) Analysis & Trends
On a TTM basis, Aaon's Profit After Tax came in at $159.29 million as of Jun 30, 2026, up 30.5% year-over-year; for FY2025, it came in at $107.59 million, down 36.2% from FY2024.
- Annual Profit After Tax has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Across earlier years, Profit After Tax came in at $168.56 million in FY2024 (-5.1%), $177.62 million in FY2023 (+77.0%), $100.38 million in FY2022 (+70.8%) and $58.76 million in FY2021 (-25.6%).
- The Q2 2026 figure is the highest quarterly Profit After Tax in data going back to Q2 2010.
- On a year-over-year basis, Profit After Tax has increased for three consecutive quarters, with growth averaging 19.6% over the last eight quarters.
- Peak year-over-year performance for Profit After Tax in the last five years was growth of 528.8% in Q4 2022, against a decline of 70.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.82 million (Q1 2026), $32.03 million (Q4 2025) and $30.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.55 Bn | 94.27 Bn | 2.26 Bn | 944.90 Mn |
| 2 | Johnson Controls International | 86.89 Bn | 84.62 Bn | 2.47 Bn | 752.00 Mn |
| 3 | Carrier Global | 46.81 Bn | 41.12 Bn | 1.94 Bn | 541.00 Mn |
| 4 | Comfort Systems Usa | 44.93 Bn | 40.18 Bn | 844.23 Mn | 441.60 Mn |
| 5 | Otis Worldwide | 28.87 Bn | 25.29 Bn | 1.14 Bn | 449.00 Mn |
| 6 | Masco | 15.52 Bn | 13.37 Bn | 868.00 Mn | 333.00 Mn |
| 7 | James Hardie Industries | 15.33 Bn | 14.40 Bn | 548.70 Mn | 104.30 Mn |
| 8 | Allegion | 15.13 Bn | 13.84 Bn | 517.50 Mn | 184.60 Mn |
| 9 | Carlisle Companies | 14.17 Bn | 10.52 Bn | 568.40 Mn | 257.70 Mn |
| 10 | Aaon | 5.73 Bn | 5.73 Bn | 152.49 Mn | 56.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.66 Mn |
| Mar 31, 2026 | 39.82 Mn |
| Dec 31, 2025 | 32.03 Mn |
| Sep 30, 2025 | 30.78 Mn |
| Jun 30, 2025 | 15.49 Mn |
| Mar 31, 2025 | 29.29 Mn |
| Dec 31, 2024 | 24.69 Mn |
| Sep 30, 2024 | 52.63 Mn |
| Jun 30, 2024 | 52.23 Mn |
| Mar 31, 2024 | 39.02 Mn |
| Dec 31, 2023 | 47.05 Mn |
| Sep 30, 2023 | 48.08 Mn |
| Jun 30, 2023 | 45.68 Mn |
| Mar 31, 2023 | 36.81 Mn |
| Dec 31, 2022 | 38.90 Mn |
| Sep 30, 2022 | 27.47 Mn |
| Jun 30, 2022 | 15.95 Mn |
| Mar 31, 2022 | 18.06 Mn |
| Dec 31, 2021 | 6.19 Mn |
| Sep 30, 2021 | 15.58 Mn |
Aaon Profit After Tax 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=profit-after-tax&ticker=AAON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=AAON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();