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 | Johnson Controls International | 90.50 Bn | 90.50 Bn | 2.71 Bn | 93.00 Mn |
| 2 | Trane Technologies | 90.28 Bn | 84.89 Bn | 2.38 Bn | 219.90 Mn |
| 3 | Carrier Global | 44.00 Bn | 38.38 Bn | 1.90 Bn | 177.00 Mn |
| 4 | Comfort Systems Usa | 43.04 Bn | 36.99 Bn | 934.48 Mn | 146.01 Mn |
| 5 | Otis Worldwide | 28.86 Bn | 25.25 Bn | 1.16 Bn | 126.00 Mn |
| 6 | Allegion | 15.95 Bn | 15.95 Bn | - | 46.90 Mn |
| 7 | Masco | 15.80 Bn | 13.60 Bn | 720.00 Mn | 82.00 Mn |
| 8 | James Hardie Industries | 15.77 Bn | 14.84 Bn | 548.70 Mn | 53.00 Mn |
| 9 | Carlisle Companies | 14.73 Bn | 11.63 Bn | 494.90 Mn | 62.50 Mn |
| 10 | Smith A O | 8.54 Bn | 7.73 Bn | 364.70 Mn | 40.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.40 Mn |
| 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 |
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();