Smith A O (AOS) Capital Expenditures (2009 - 2026)
Smith A O's Capital Expenditures was $12.7 million in Q3 2026, down 14.2% from $14.8 million a year earlier but up 27.0% from the prior quarter.
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Analysis
Smith A O (AOS) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Smith A O's Capital Expenditures was $50.8 million through Sep 30, 2026, down 39.4% year-over-year; for FY2025, it was $70.8 million, down 34.4% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $108 million in FY2024 (+48.8%), $72.6 million in FY2023 (+3.3%), $70.3 million in FY2022 (-6.4%) and $75.1 million in FY2021 (+32.2%).
- Quarterly Capital Expenditures has moved between $10 million (Q2 2026) and $32.5 million (Q3 2024) over five years.
- Compared with a year earlier, Capital Expenditures has declined for seven straight quarters, with an average decline of 28.7% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2024 (growth of 105.6%); the worst was Q3 2025 (a decline of 54.5%).
- Per Business Quant data, AOS's Capital Expenditures in the three quarters before Q3 2026 was $10 million (Q2 2026), $10.5 million (Q1 2026) and $17.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 108.10 Mn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 95.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 139.00 Mn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 210.60 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 39.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 68.50 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 39.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 25.70 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 36.80 Mn |
| 10 | Smith A O | 8.74 Bn | 7.93 Bn | 364.70 Mn | 12.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.70 Mn |
| Jun 30, 2026 | 10.00 Mn |
| Mar 31, 2026 | 10.50 Mn |
| Dec 31, 2025 | 17.60 Mn |
| Sep 30, 2025 | 14.80 Mn |
| Jun 30, 2025 | 17.10 Mn |
| Mar 31, 2025 | 21.30 Mn |
| Dec 31, 2024 | 30.60 Mn |
| Sep 30, 2024 | 32.50 Mn |
| Jun 30, 2024 | 22.90 Mn |
| Mar 31, 2024 | 22.00 Mn |
| Dec 31, 2023 | 29.90 Mn |
| Sep 30, 2023 | 18.50 Mn |
| Jun 30, 2023 | 13.50 Mn |
| Mar 31, 2023 | 10.70 Mn |
| Dec 31, 2022 | 19.40 Mn |
| Sep 30, 2022 | 20.20 Mn |
| Jun 30, 2022 | 17.80 Mn |
| Mar 31, 2022 | 12.90 Mn |
| Dec 31, 2021 | 29.80 Mn |
API Access
Smith A O Capital Expenditures 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=capital-expenditures&ticker=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();