Smith A O (AOS) Revenue (2010 - 2026)
Smith A O (AOS) posted Revenue of $1 billion for Q2 2026, down 0.7% from $1.01 billion a year earlier but up 6.2% from the prior quarter.
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Analysis
Smith A O (AOS) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Smith A O was $3.8 billion, up 0.4% year-over-year; for FY2025, it came in at $3.83 billion, up 0.3% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In prior years, Smith A O's Revenue was $3.82 billion in FY2024 (-0.9%), $3.85 billion in FY2023 (+2.6%), $3.75 billion in FY2022 (+6.1%) and $3.54 billion in FY2021 (+22.2%).
- Quarterly Revenue has run from a low of $874.2 million in Q3 2022 to a high of $1.02 billion in Q2 2024 over five years.
- On a year-over-year basis, Revenue increased in 1 of the last eight quarters, with an average decline of 1.5%.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2022, with growth of 27.1%; the weakest was Q4 2024, with a decline of 7.7%.
- According to Business Quant data, Revenue for the three prior quarters was $945.6 million (Q1 2026), $912.5 million (Q4 2025) and $942.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 6.35 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 6.61 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 3.27 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 6.35 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 3.86 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 1.47 Bn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 1.99 Bn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 1.15 Bn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 1.57 Bn |
| 10 | Smith A O | 7.66 Bn | 6.91 Bn | 387.80 Mn | 1.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Bn |
| Mar 31, 2026 | 945.60 Mn |
| Dec 31, 2025 | 912.50 Mn |
| Sep 30, 2025 | 942.50 Mn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 963.90 Mn |
| Dec 31, 2024 | 912.40 Mn |
| Sep 30, 2024 | 902.60 Mn |
| Jun 30, 2024 | 1.02 Bn |
| Mar 31, 2024 | 978.80 Mn |
| Dec 31, 2023 | 988.10 Mn |
| Sep 30, 2023 | 937.50 Mn |
| Jun 30, 2023 | 960.80 Mn |
| Mar 31, 2023 | 966.40 Mn |
| Dec 31, 2022 | 936.10 Mn |
| Sep 30, 2022 | 874.20 Mn |
| Jun 30, 2022 | 965.90 Mn |
| Mar 31, 2022 | 977.70 Mn |
| Dec 31, 2021 | 995.50 Mn |
| Sep 30, 2021 | 914.60 Mn |
API Access
Smith A O Revenue 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=revenue&ticker=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();