Smith A O (AOS) EBT (2010 - 2026)
Smith A O (AOS) posted EBT of $158 million for Q2 2026, down 21.6% from $201.6 million a year earlier but up 2.1% from the prior quarter.
Smith A O (AOS) EBT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Smith A O was $645.1 million, down 5.7% year-over-year; for FY2025, it was $715.1 million, up 2.0% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- In prior years, Smith A O's EBT was $701 million in FY2024 (-4.4%), $733.5 million in FY2023 (+227.9%), $223.7 million in FY2022 (-64.2%) and $625.6 million in FY2021 (+40.9%).
- Quarterly EBT has run from a low of -$242.9 million in Q4 2022 to a high of $208.9 million in Q2 2023 over five years.
- On a year-over-year basis, EBT increased in two of the last eight quarters, with an average decline of 6.7%.
- The strongest year-over-year quarter for EBT in the past five years was Q2 2023, with growth of 26.4%; the weakest was Q2 2026, with a decline of 21.6%.
- According to Business Quant data, EBT for the three prior quarters was $154.7 million (Q1 2026), $160.6 million (Q4 2025) and $171.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.16 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 917.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 566.24 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 721.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 547.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 157.30 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 440.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 227.90 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 333.70 Mn |
| 10 | Smith A O | 7.66 Bn | 6.91 Bn | 387.80 Mn | 158.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158.00 Mn |
| Mar 31, 2026 | 154.70 Mn |
| Dec 31, 2025 | 160.60 Mn |
| Sep 30, 2025 | 171.80 Mn |
| Jun 30, 2025 | 201.60 Mn |
| Mar 31, 2025 | 181.10 Mn |
| Dec 31, 2024 | 145.10 Mn |
| Sep 30, 2024 | 156.60 Mn |
| Jun 30, 2024 | 206.60 Mn |
| Mar 31, 2024 | 192.70 Mn |
| Dec 31, 2023 | 176.90 Mn |
| Sep 30, 2023 | 176.40 Mn |
| Jun 30, 2023 | 208.90 Mn |
| Mar 31, 2023 | 171.30 Mn |
| Dec 31, 2022 | -242.90 Mn |
| Sep 30, 2022 | 144.70 Mn |
| Jun 30, 2022 | 165.30 Mn |
| Mar 31, 2022 | 156.60 Mn |
| Dec 31, 2021 | 181.80 Mn |
| Sep 30, 2021 | 166.40 Mn |
Smith A O EBT 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=ebt&ticker=AOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();