Smith A O (AOS) Accumulated Expenses (2009 - 2026)
Smith A O (AOS) posted Accumulated Expenses of $153.6 million for Q3 2026, down 0.3% from $154 million a year earlier and down 4.5% from the prior quarter.
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Analysis
Smith A O (AOS) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Smith A O's Accumulated Expenses came in at $147.5 million, down 3.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In prior years, Smith A O's Accumulated Expenses was $153 million in FY2024 (-13.8%), $177.4 million in FY2023 (+11.5%), $159.1 million in FY2022 (-12.5%) and $181.8 million in FY2021 (+12.3%).
- Quarterly Accumulated Expenses has run from a low of $144.1 million in Q3 2024 to a high of $213.6 million in Q1 2023 over five years.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 3.0%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2022, with growth of 14.2%; the weakest was Q1 2026, with a decline of 19.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $160.9 million (Q2 2026), $159.4 million (Q1 2026) and $147.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn |
| 10 | Smith A O | 8.74 Bn | 7.93 Bn | 364.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 153.60 Mn |
| Jun 30, 2026 | 160.90 Mn |
| Mar 31, 2026 | 159.40 Mn |
| Dec 31, 2025 | 147.50 Mn |
| Sep 30, 2025 | 154.00 Mn |
| Jun 30, 2025 | 148.30 Mn |
| Mar 31, 2025 | 198.60 Mn |
| Dec 31, 2024 | 153.00 Mn |
| Sep 30, 2024 | 144.10 Mn |
| Jun 30, 2024 | 152.70 Mn |
| Mar 31, 2024 | 197.10 Mn |
| Dec 31, 2023 | 177.40 Mn |
| Sep 30, 2023 | 175.20 Mn |
| Jun 30, 2023 | 169.80 Mn |
| Mar 31, 2023 | 213.60 Mn |
| Dec 31, 2022 | 159.10 Mn |
| Sep 30, 2022 | 163.80 Mn |
| Jun 30, 2022 | 165.30 Mn |
| Mar 31, 2022 | 207.00 Mn |
| Dec 31, 2021 | 181.80 Mn |
API Access
Smith A O Accumulated Expenses 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=accumulated-expenses&ticker=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();