Aaon (AAON) Tax Provisions (2010 - 2026)
Aaon (AAON) posted Tax Provisions of $6.19 million for Q2 2026, up 54.0% from $4.02 million a year earlier but down 49.6% from the prior quarter.
Aaon (AAON) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Aaon was $32.4 million, up 42.9% year-over-year; for FY2025, it was $21.16 million, down 44.4% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In prior years, Aaon's Tax Provisions was $38.03 million in FY2024 (-16.5%), $45.53 million in FY2023 (+88.5%), $24.16 million in FY2022 (+131.7%) and $10.42 million in FY2021 (-54.6%).
- Quarterly Tax Provisions has run from a low of -$840,000 in Q4 2021 to a high of $16.08 million in Q4 2023 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 18.3% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2026, with growth of 284.4%; the weakest was Q4 2024, with a decline of 77.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $12.27 million (Q1 2026), $6.29 million (Q4 2025) and $7.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 218.20 Mn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 165.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 124.64 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 180.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 98.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 53.00 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 107.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 43.30 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 76.00 Mn |
| 10 | Aaon | 6.82 Bn | 6.82 Bn | 152.49 Mn | 6.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.19 Mn |
| Mar 31, 2026 | 12.27 Mn |
| Dec 31, 2025 | 6.29 Mn |
| Sep 30, 2025 | 7.66 Mn |
| Jun 30, 2025 | 4.02 Mn |
| Mar 31, 2025 | 3.19 Mn |
| Dec 31, 2024 | 3.58 Mn |
| Sep 30, 2024 | 11.89 Mn |
| Jun 30, 2024 | 14.78 Mn |
| Mar 31, 2024 | 7.79 Mn |
| Dec 31, 2023 | 16.08 Mn |
| Sep 30, 2023 | 15.41 Mn |
| Jun 30, 2023 | 7.68 Mn |
| Mar 31, 2023 | 6.36 Mn |
| Dec 31, 2022 | 6.87 Mn |
| Sep 30, 2022 | 8.33 Mn |
| Jun 30, 2022 | 4.18 Mn |
| Mar 31, 2022 | 4.78 Mn |
| Dec 31, 2021 | -840,000.00 |
| Sep 30, 2021 | 4.53 Mn |
Aaon Tax Provisions 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=tax-provisions&ticker=AAON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AAON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();