Smith A O (AOS) Non Operating Interest Expenses (2010 - 2026)
Smith A O (AOS) recorded Non Operating Interest Expenses of $8.1 million in Q2 2026, up 76.1% from $4.6 million a year earlier and up 14.1% from the prior quarter.
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Analysis
Smith A O (AOS) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Smith A O's Non Operating Interest Expenses came in at $21.2 million as of Jun 30, 2026, up 86.0% year-over-year; for FY2025, it was $13.5 million, up 101.5% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $6.7 million in FY2024 (-44.2%), $12 million in FY2023 (+27.7%), $9.4 million in FY2022 (+118.6%) and $4.3 million in FY2021 (-41.1%).
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q1 2010.
- On a year-over-year basis, Non Operating Interest Expenses rose in six of the last eight quarters, with growth averaging 98.4%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 190.0% in Q1 2025, against a decline of 75.0% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.1 million (Q1 2026), $2.4 million (Q4 2025) and $3.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.08 Bn | 95.82 Bn | 2.26 Bn | 53.10 Mn |
| 2 | Johnson Controls International | 91.92 Bn | 89.68 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 59.34 Bn | 54.59 Bn | 844.23 Mn | 1.44 Mn |
| 4 | Carrier Global | 45.52 Bn | 40.15 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 24.55 Bn | 21.15 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.62 Bn | 13.36 Bn | 548.70 Mn | 61.50 Mn |
| 7 | Masco | 13.47 Bn | 11.57 Bn | 868.00 Mn | 28.00 Mn |
| 8 | Allegion | 13.13 Bn | 11.84 Bn | 517.50 Mn | 24.80 Mn |
| 9 | Carlisle Companies | 12.95 Bn | 9.29 Bn | 568.40 Mn | 27.40 Mn |
| 10 | Smith A O | 7.71 Bn | 6.95 Bn | 387.80 Mn | 8.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.10 Mn |
| Mar 31, 2026 | 7.10 Mn |
| Dec 31, 2025 | 2.40 Mn |
| Sep 30, 2025 | 3.60 Mn |
| Jun 30, 2025 | 4.60 Mn |
| Mar 31, 2025 | 2.90 Mn |
| Dec 31, 2024 | 2.40 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 1.80 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | 2.40 Mn |
| Jun 30, 2023 | 4.50 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | 3.40 Mn |
| Sep 30, 2022 | 2.40 Mn |
| Jun 30, 2022 | 2.10 Mn |
| Mar 31, 2022 | 1.50 Mn |
| Dec 31, 2021 | 1.40 Mn |
| Sep 30, 2021 | 1.00 Mn |
API Access
Smith A O Non Operating Interest 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=non-operating-interest-expenses&ticker=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();