Smith A O (AOS) Long-Term Debt Repayments (2009 - 2026)
Smith A O (AOS) posted Long-Term Debt Repayments of $140.7 million for Q3 2026, down 19.2% from $174.1 million a year earlier and down 39.4% from the prior quarter.
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Analysis
Smith A O (AOS) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Long-Term Debt Repayments at Smith A O was $921.6 million, down 45.8% year-over-year; for FY2025, it came in at $1.12 billion, up 9.2% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 45.8% (FY2020 to FY2025).
- In prior years, Smith A O's Long-Term Debt Repayments was $1.03 billion in FY2024 (+13.7%) and $906.1 million in FY2023.
- Quarterly Long-Term Debt Repayments has run from a low of $3.7 million in Q1 2023 to a high of $1.02 billion in Q4 2024 over five years.
- On a year-over-year basis, Long-Term Debt Repayments has declined in each of the last four quarters, with an average decline of 19.5% over the last five quarters.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $232.1 million (Q2 2026), $101.1 million (Q1 2026) and $447.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 90.48 Bn | 85.12 Bn | 2.38 Bn | - |
| 2 | Johnson Controls International | 88.72 Bn | 86.49 Bn | 2.47 Bn | - |
| 3 | Carrier Global | 45.15 Bn | 39.89 Bn | 1.90 Bn | 3.00 Mn |
| 4 | Comfort Systems Usa | 42.00 Bn | 35.95 Bn | 934.48 Mn | 15.39 Mn |
| 5 | Otis Worldwide | 29.84 Bn | 26.40 Bn | 1.16 Bn | - |
| 6 | Allegion | 16.31 Bn | 15.02 Bn | 517.50 Mn | - |
| 7 | James Hardie Industries | 16.15 Bn | 15.21 Bn | 548.70 Mn | 792.30 Mn |
| 8 | Masco | 16.10 Bn | 14.16 Bn | 720.00 Mn | - |
| 9 | Carlisle Companies | 15.23 Bn | 12.14 Bn | 494.90 Mn | - |
| 10 | Smith A O | 8.79 Bn | 7.97 Bn | 364.70 Mn | 140.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 140.70 Mn |
| Jun 30, 2026 | 232.10 Mn |
| Mar 31, 2026 | 101.10 Mn |
| Dec 31, 2025 | 447.70 Mn |
| Sep 30, 2025 | 174.10 Mn |
| Jun 30, 2025 | 339.10 Mn |
| Mar 31, 2025 | 164.00 Mn |
| Dec 31, 2024 | 1.02 Bn |
| Mar 31, 2024 | 6.80 Mn |
| Dec 31, 2023 | 691.20 Mn |
| Sep 30, 2023 | 75.60 Mn |
| Jun 30, 2023 | 135.60 Mn |
| Mar 31, 2023 | 3.70 Mn |
| Mar 31, 2021 | 6.80 Mn |
| Dec 31, 2020 | 700,000.00 |
| Sep 30, 2020 | 167.20 Mn |
| Sep 30, 2011 | 34.40 Mn |
| Sep 30, 2010 | 2.80 Mn |
| Dec 31, 2009 | -20.40 Mn |
| Sep 30, 2009 | 65.90 Mn |
API Access
Smith A O Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();