Smith A O (AOS) EBIT (2010 - 2026)
Smith A O (AOS) reported EBIT of $175.2 million for Q3 2026, down 0.2% from $175.6 million a year earlier but up 4.6% from the prior quarter.
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Analysis
Smith A O (AOS) EBIT (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Smith A O's EBIT came in at $668.3 million, down 7.2% year-over-year; for FY2025, it came in at $728 million, up 4.1% from FY2024.
- EBIT has a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- By year, EBIT came in at $699.2 million in FY2024 (-5.3%), $738.6 million in FY2023 (+12.1%), $658.7 million in FY2022 (+8.1%) and $609.5 million in FY2021 (+38.5%).
- Five-year quarterly EBIT spans a low of $149.5 million in Q3 2022 and a high of $207.5 million in Q2 2024.
- Year over year, EBIT has now declined in each of the last three quarters, with an average decline of 4.7% over the last eight quarters.
- The high point for year-over-year EBIT in five years was Q1 2022 (growth of 32.5%); the low point was Q2 2026 (a decline of 18.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $167.5 million (Q2 2026), $161.8 million (Q1 2026) and $163.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 91.09 Bn | 85.71 Bn | 2.38 Bn | 1.34 Bn |
| 2 | Johnson Controls International | 85.04 Bn | 82.77 Bn | 2.47 Bn | 987.00 Mn |
| 3 | Carrier Global | 46.76 Bn | 41.14 Bn | 1.90 Bn | -2.27 Bn |
| 4 | Comfort Systems Usa | 37.45 Bn | 31.40 Bn | 934.48 Mn | 624.57 Mn |
| 5 | Otis Worldwide | 30.82 Bn | 27.21 Bn | 1.16 Bn | 620.00 Mn |
| 6 | Masco | 17.16 Bn | 14.97 Bn | 720.00 Mn | 338.00 Mn |
| 7 | James Hardie Industries | 16.98 Bn | 16.05 Bn | 548.70 Mn | 217.70 Mn |
| 8 | Allegion | 16.64 Bn | 15.35 Bn | 517.50 Mn | 254.70 Mn |
| 9 | Carlisle Companies | 15.86 Bn | 12.76 Bn | 494.90 Mn | 293.20 Mn |
| 10 | Smith A O | 9.13 Bn | 8.32 Bn | 364.70 Mn | 175.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 175.20 Mn |
| Jun 30, 2026 | 167.50 Mn |
| Mar 31, 2026 | 161.80 Mn |
| Dec 31, 2025 | 163.80 Mn |
| Sep 30, 2025 | 175.60 Mn |
| Jun 30, 2025 | 205.80 Mn |
| Mar 31, 2025 | 182.80 Mn |
| Dec 31, 2024 | 156.10 Mn |
| Sep 30, 2024 | 160.70 Mn |
| Jun 30, 2024 | 207.50 Mn |
| Mar 31, 2024 | 192.50 Mn |
| Dec 31, 2023 | 184.80 Mn |
| Sep 30, 2023 | 181.30 Mn |
| Jun 30, 2023 | 204.40 Mn |
| Mar 31, 2023 | 186.90 Mn |
| Dec 31, 2022 | 179.70 Mn |
| Sep 30, 2022 | 149.50 Mn |
| Jun 30, 2022 | 167.70 Mn |
| Mar 31, 2022 | 161.80 Mn |
| Dec 31, 2021 | 176.40 Mn |
API Access
Smith A O EBIT 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=ebit&ticker=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();