Smith Midland (SMID) Non Operating Interest Expenses (2011 - 2026)
Smith Midland (SMID) posted Non Operating Interest Expenses of $66,000 for Q2 2026, up 6.5% from $62,000 a year earlier and up 40.4% from the prior quarter.
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Analysis
Smith Midland (SMID) Non Operating Interest Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Smith Midland was $221,000, down 3.5% year-over-year; for FY2025, it came in at $225,000, down 2.6% from FY2024.
- Annual Non Operating Interest Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In prior years, Smith Midland's Non Operating Interest Expenses was $231,000 in FY2024 (-9.4%), $255,000 in FY2023 (-1.9%), $260,000 in FY2022 (+36.8%) and $190,000 in FY2021 (-12.4%).
- The Q2 2026 figure stands as the highest quarterly Non Operating Interest Expenses since Q4 2022.
- On a year-over-year basis, Non Operating Interest Expenses increased in two of the last seven quarters, with an average decline of 6.7%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2022, with growth of 62.2%; the weakest was Q3 2025, with a decline of 21.4%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $47,000 (Q1 2026), $64,000 (Q4 2025) and $44,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 53.10 Mn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 1.44 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 61.50 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 28.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 24.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 27.40 Mn |
| 10 | Smith Midland | 121.00 Mn | 71.86 Mn | 5.42 Mn | 66,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66,000.00 |
| Mar 31, 2026 | 47,000.00 |
| Dec 31, 2025 | 64,000.00 |
| Sep 30, 2025 | 44,000.00 |
| Jun 30, 2025 | 62,000.00 |
| Mar 31, 2025 | 55,000.00 |
| Dec 31, 2024 | 56,000.00 |
| Sep 30, 2024 | 56,000.00 |
| Mar 31, 2024 | 60,000.00 |
| Dec 31, 2023 | 63,000.00 |
| Sep 30, 2023 | 64,000.00 |
| Jun 30, 2023 | 64,000.00 |
| Mar 31, 2023 | 64,000.00 |
| Dec 31, 2022 | 73,000.00 |
| Sep 30, 2022 | 69,000.00 |
| Jun 30, 2022 | 71,000.00 |
| Mar 31, 2022 | 48,000.00 |
| Dec 31, 2021 | 45,000.00 |
| Sep 30, 2021 | 47,000.00 |
| Jun 30, 2021 | 56,000.00 |
API Access
Smith Midland 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=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SMID", "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=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();