Smith A O (AOS) Cash & Equivalents (2009 - 2026)
Smith A O's Cash & Equivalents was $234.5 million in Q3 2026, up 53.6% from $152.7 million a year earlier and up 29.3% from the prior quarter.
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Analysis
Smith A O (AOS) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Smith A O came in at $174.5 million, down 27.2% from FY2024.
- Cash & Equivalents has now declined for five consecutive years, with a five-year compound annual growth rate of -21.2% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $239.6 million in FY2024 (-29.5%), $339.9 million in FY2023 (-13.1%), $391.2 million in FY2022 (-11.8%) and $443.3 million in FY2021 (-22.6%).
- The Q3 2026 figure marks the highest quarterly Cash & Equivalents since Q4 2024.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with an average decline of 9.2% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2026 (growth of 53.6%); the worst was Q2 2024 (a decline of 43.0%).
- Per Business Quant data, AOS's Cash & Equivalents in the three quarters before Q3 2026 was $181.3 million (Q2 2026), $185.2 million (Q1 2026) and $174.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 1.23 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 1.35 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 2.16 Bn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 866.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 323.10 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 610.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 388.10 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 546.70 Mn |
| 10 | Smith A O | 8.74 Bn | 7.93 Bn | 364.70 Mn | 234.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 234.50 Mn |
| Jun 30, 2026 | 181.30 Mn |
| Mar 31, 2026 | 185.20 Mn |
| Dec 31, 2025 | 174.50 Mn |
| Sep 30, 2025 | 152.70 Mn |
| Jun 30, 2025 | 177.90 Mn |
| Mar 31, 2025 | 173.00 Mn |
| Dec 31, 2024 | 239.60 Mn |
| Sep 30, 2024 | 219.30 Mn |
| Jun 30, 2024 | 216.10 Mn |
| Mar 31, 2024 | 251.60 Mn |
| Dec 31, 2023 | 339.90 Mn |
| Sep 30, 2023 | 281.00 Mn |
| Jun 30, 2023 | 378.90 Mn |
| Mar 31, 2023 | 406.20 Mn |
| Dec 31, 2022 | 391.20 Mn |
| Sep 30, 2022 | 358.80 Mn |
| Jun 30, 2022 | 359.40 Mn |
| Mar 31, 2022 | 405.80 Mn |
| Dec 31, 2021 | 443.30 Mn |
API Access
Smith A O Cash & Equivalents 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-and-equivalents&ticker=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();