Smith A O (AOS) Net Income (2009 - 2026)
Smith A O's Net Income came in at $124.9 million for Q2 2026, down 17.9% from $152.2 million a year earlier but up 5.8% from the prior quarter.
Smith A O (AOS) Net Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Smith A O reported Net Income of $500.3 million, down 3.5% year-over-year; for FY2025, it was $546.2 million, up 2.4% from FY2024.
- Net Income carries a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- Going back by year, Net Income was $533.6 million in FY2024 (-4.1%), $556.6 million in FY2023 (+136.1%), $235.7 million in FY2022 (-51.6%) and $487.1 million in FY2021 (+41.2%).
- The five-year range for quarterly Net Income is -$120.1 million (Q4 2022) to $157 million (Q2 2023).
- Year-over-year, Net Income increased in two of the last eight quarters, with an average decline of 6.1%.
- The fastest year-over-year change in Net Income over five years came in Q3 2021 (growth of 24.9%), and the weakest in Q4 2024 (a decline of 20.1%).
- Business Quant data shows AOS's Net Income at $118 million (Q1 2026), $125.4 million (Q4 2025) and $132 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 90.97 Bn | 85.59 Bn | 2.38 Bn | 1.05 Bn |
| 2 | Johnson Controls International | 89.10 Bn | 89.10 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 45.30 Bn | 39.67 Bn | 1.90 Bn | -2.59 Bn |
| 4 | Comfort Systems Usa | 42.17 Bn | 36.13 Bn | 934.48 Mn | 489.04 Mn |
| 5 | Otis Worldwide | 29.91 Bn | 26.31 Bn | 1.16 Bn | 426.00 Mn |
| 6 | Allegion | 16.44 Bn | 16.44 Bn | - | 220.90 Mn |
| 7 | Masco | 16.36 Bn | 14.17 Bn | 720.00 Mn | 240.00 Mn |
| 8 | James Hardie Industries | 16.14 Bn | 15.20 Bn | 548.70 Mn | 104.30 Mn |
| 9 | Carlisle Companies | 15.39 Bn | 12.29 Bn | 494.90 Mn | 208.10 Mn |
| 10 | Smith A O | 8.84 Bn | 8.03 Bn | 364.70 Mn | 126.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.30 Mn |
| Jun 30, 2026 | 124.90 Mn |
| Mar 31, 2026 | 118.00 Mn |
| Dec 31, 2025 | 125.40 Mn |
| Sep 30, 2025 | 132.00 Mn |
| Jun 30, 2025 | 152.20 Mn |
| Mar 31, 2025 | 136.60 Mn |
| Dec 31, 2024 | 109.70 Mn |
| Sep 30, 2024 | 120.10 Mn |
| Jun 30, 2024 | 156.20 Mn |
| Mar 31, 2024 | 147.60 Mn |
| Dec 31, 2023 | 137.30 Mn |
| Sep 30, 2023 | 135.40 Mn |
| Jun 30, 2023 | 157.00 Mn |
| Mar 31, 2023 | 126.90 Mn |
| Dec 31, 2022 | -120.10 Mn |
| Sep 30, 2022 | 109.80 Mn |
| Jun 30, 2022 | 126.20 Mn |
| Mar 31, 2022 | 119.80 Mn |
| Dec 31, 2021 | 139.60 Mn |
Smith A O Net Income 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=net-income&ticker=AOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();