Smith A O (AOS) EPS (Diluted) (2010 - 2026)
Smith A O's EPS (Diluted) came in at $0.91 for Q2 2026, down 15.2% from $1.07 a year earlier but up 6.8% from the prior quarter.
Smith A O (AOS) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Smith A O reported EPS (Diluted) of $3.63, down 0.3% year-over-year; for FY2025, it came in at $3.85, up 6.1% from FY2024.
- EPS (Diluted) carries a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- Going back by year, EPS (Diluted) was $3.63 in FY2024 (-1.6%), $3.69 in FY2023 (+143.6%), $1.51 in FY2022 (-49.9%) and $3.02 in FY2021 (+42.4%).
- The five-year range for quarterly EPS (Diluted) is -$0.77 (Q4 2022) to $1.07 (Q2 2025).
- Year-over-year, EPS (Diluted) increased in three of the last eight quarters, with an average decline of 2.9%.
- The fastest year-over-year change in EPS (Diluted) over five years came in Q2 2023 (growth of 28.6%), and the weakest in Q4 2024 (a decline of 18.0%).
- Business Quant data shows AOS's EPS (Diluted) at $0.85 (Q1 2026), $0.88 (Q4 2025) and $0.94 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 4.16 |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.23 |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 12.53 |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 0.60 |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 1.12 |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 0.18 |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 1.60 |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 2.15 |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 6.30 |
| 10 | Smith A O | 7.66 Bn | 6.91 Bn | 387.80 Mn | 0.91 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.91 |
| Mar 31, 2026 | 0.85 |
| Dec 31, 2025 | 0.88 |
| Sep 30, 2025 | 0.94 |
| Jun 30, 2025 | 1.07 |
| Mar 31, 2025 | 0.95 |
| Dec 31, 2024 | 0.75 |
| Sep 30, 2024 | 0.82 |
| Jun 30, 2024 | 1.06 |
| Mar 31, 2024 | 1.00 |
| Dec 31, 2023 | 0.91 |
| Sep 30, 2023 | 0.90 |
| Jun 30, 2023 | 1.04 |
| Mar 31, 2023 | 0.84 |
| Dec 31, 2022 | -0.77 |
| Sep 30, 2022 | 0.71 |
| Jun 30, 2022 | 0.81 |
| Mar 31, 2022 | 0.76 |
| Dec 31, 2021 | 0.87 |
| Sep 30, 2021 | 0.82 |
Smith A O EPS (Diluted) 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=eps-diluted&ticker=AOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();