Smith Midland (SMID) Operating Income (2011 - 2026)
Smith Midland (SMID) posted Operating Income of $1.99 million for Q2 2026, down 64.0% from $5.52 million a year earlier but up 14.9% from the prior quarter.
Smith Midland (SMID) Operating Income (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Smith Midland was $10.8 million, down 30.8% year-over-year; for FY2025, it came in at $16.99 million, up 71.7% from FY2024.
- Annual Operating Income has increased for three consecutive years, with a five-year compound annual growth rate of 35.2% (FY2020 to FY2025).
- In prior years, Smith Midland's Operating Income was $9.9 million in FY2024 (+785.4%), $1.12 million in FY2023 (+30.9%), $854,000 in FY2022 (-86.2%) and $6.17 million in FY2021 (+64.1%).
- Quarterly Operating Income has run from a low of -$981,000 in Q2 2023 to a high of $5.52 million in Q2 2025 over five years.
- On a year-over-year basis, Operating Income increased in five of the last seven quarters, with growth averaging 77.2%.
- The strongest year-over-year quarter for Operating Income in the past five years was Q4 2024, with growth of 244.6%; the weakest was Q3 2022, with a decline of 99.7%.
- According to Business Quant data, Operating Income for the three prior quarters was $1.73 million (Q1 2026), $3.24 million (Q4 2025) and $3.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.22 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 987.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 557.97 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 825.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 575.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 217.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 470.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 254.70 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 352.50 Mn |
| 10 | Smith Midland | 121.00 Mn | 71.86 Mn | 5.42 Mn | 1.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.99 Mn |
| Mar 31, 2026 | 1.73 Mn |
| Dec 31, 2025 | 3.24 Mn |
| Sep 30, 2025 | 3.85 Mn |
| Jun 30, 2025 | 5.52 Mn |
| Mar 31, 2025 | 4.39 Mn |
| Dec 31, 2024 | 1.87 Mn |
| Sep 30, 2024 | 3.85 Mn |
| Mar 31, 2024 | 1.51 Mn |
| Dec 31, 2023 | 542,000.00 |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | -981,000.00 |
| Mar 31, 2023 | 54,000.00 |
| Dec 31, 2022 | -74,000.00 |
| Sep 30, 2022 | 4,000.00 |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | -173,000.00 |
| Dec 31, 2021 | -179,000.00 |
| Sep 30, 2021 | 1.27 Mn |
| Jun 30, 2021 | 1.28 Mn |
Smith Midland Operating Income 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=operating-income&ticker=SMID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();