Smith A O (AOS) Cash from Operations (2009 - 2026)
Smith A O's Cash from Operations came in at $124.4 million for Q2 2026, down 10.9% from $139.6 million a year earlier and down 3.9% from the prior quarter.
Smith A O (AOS) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Smith A O reported Cash from Operations of $692.3 million, up 16.1% year-over-year; for FY2025, it was $616.8 million, up 6.0% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $581.8 million in FY2024 (-13.2%), $670.3 million in FY2023 (+71.3%), $391.4 million in FY2022 (-38.9%) and $641.1 million in FY2021 (+14.1%).
- The Q2 2026 figure represents the lowest quarterly Cash from Operations since Q1 2025.
- Year-over-year, Cash from Operations increased in four of the last eight quarters, with growth averaging 40.2%.
- The fastest year-over-year change in Cash from Operations over five years came in Q1 2023 (growth of 626.7%), and the weakest in Q1 2022 (a decline of 84.2%).
- Business Quant data shows AOS's Cash from Operations at $129.4 million (Q1 2026), $183.1 million (Q4 2025) and $255.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.10 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.29 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 1.14 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 927.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 267.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 344.00 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 496.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 198.40 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 241.80 Mn |
| 10 | Smith A O | 7.66 Bn | 6.91 Bn | 387.80 Mn | 124.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.40 Mn |
| Mar 31, 2026 | 129.40 Mn |
| Dec 31, 2025 | 183.10 Mn |
| Sep 30, 2025 | 255.40 Mn |
| Jun 30, 2025 | 139.60 Mn |
| Mar 31, 2025 | 38.70 Mn |
| Dec 31, 2024 | 221.90 Mn |
| Sep 30, 2024 | 195.90 Mn |
| Jun 30, 2024 | 57.40 Mn |
| Mar 31, 2024 | 106.60 Mn |
| Dec 31, 2023 | 231.30 Mn |
| Sep 30, 2023 | 178.80 Mn |
| Jun 30, 2023 | 140.30 Mn |
| Mar 31, 2023 | 119.90 Mn |
| Dec 31, 2022 | 176.70 Mn |
| Sep 30, 2022 | 160.30 Mn |
| Jun 30, 2022 | 37.90 Mn |
| Mar 31, 2022 | 16.50 Mn |
| Dec 31, 2021 | 264.30 Mn |
| Sep 30, 2021 | 180.80 Mn |
Smith A O Cash from Operations 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=cash-from-operations&ticker=AOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();