Smith A O (AOS) Tax Provisions (2010 - 2026)
Smith A O (AOS) posted Tax Provisions of $33.1 million for Q2 2026, down 33.0% from $49.4 million a year earlier and down 9.8% from the prior quarter.
Smith A O (AOS) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Smith A O was $144.8 million, down 12.7% year-over-year; for FY2025, it was $168.9 million, up 0.9% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- In prior years, Smith A O's Tax Provisions was $167.4 million in FY2024 (-5.4%), $176.9 million in FY2023, -$12 million in FY2022 and $138.5 million in FY2021 (+39.9%).
- The Q2 2026 figure stands as the lowest quarterly Tax Provisions since Q4 2022.
- On a year-over-year basis, Tax Provisions has declined in each of the last three quarters, with an average decline of 8.4% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2023, with growth of 32.7%; the weakest was Q2 2026, with a decline of 33.0%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $36.7 million (Q1 2026), $35.2 million (Q4 2025) and $39.8 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 | Smith A O | 7.66 Bn | 6.91 Bn | 387.80 Mn | 33.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.10 Mn |
| Mar 31, 2026 | 36.70 Mn |
| Dec 31, 2025 | 35.20 Mn |
| Sep 30, 2025 | 39.80 Mn |
| Jun 30, 2025 | 49.40 Mn |
| Mar 31, 2025 | 44.50 Mn |
| Dec 31, 2024 | 35.40 Mn |
| Sep 30, 2024 | 36.50 Mn |
| Jun 30, 2024 | 50.40 Mn |
| Mar 31, 2024 | 45.10 Mn |
| Dec 31, 2023 | 39.60 Mn |
| Sep 30, 2023 | 41.00 Mn |
| Jun 30, 2023 | 51.90 Mn |
| Mar 31, 2023 | 44.40 Mn |
| Dec 31, 2022 | -122.80 Mn |
| Sep 30, 2022 | 34.90 Mn |
| Jun 30, 2022 | 39.10 Mn |
| Mar 31, 2022 | 36.80 Mn |
| Dec 31, 2021 | 42.20 Mn |
| Sep 30, 2021 | 34.80 Mn |
Smith A O 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=AOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "AOS", "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=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();