Smith Midland (SMID) EBIT (2011 - 2026)
Smith Midland's EBIT came in at $1.99 million for Q2 2026, down 64.0% from $5.52 million a year earlier but up 14.9% from the prior quarter.
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Analysis
Smith Midland (SMID) EBIT (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Smith Midland reported EBIT of $10.8 million, down 30.8% year-over-year; for FY2025, it came in at $16.99 million, up 71.7% from FY2024.
- EBIT has increased in each of the last three years, with a five-year compound annual growth rate of 35.2% (FY2020 to FY2025).
- Going back by year, EBIT 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%).
- The five-year range for quarterly EBIT is -$981,000 (Q2 2023) to $5.52 million (Q2 2025).
- Year-over-year, EBIT increased in five of the last seven quarters, with growth averaging 77.2%.
- The fastest year-over-year change in EBIT over five years came in Q4 2024 (growth of 244.6%), and the weakest in Q3 2022 (a decline of 99.7%).
- Business Quant data shows SMID's EBIT at $1.73 million (Q1 2026), $3.24 million (Q4 2025) and $3.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.22 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 987.00 Mn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 557.97 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 825.00 Mn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 575.00 Mn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 217.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 470.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 254.70 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 352.50 Mn |
| 10 | Smith Midland | 127.95 Mn | 78.81 Mn | 5.42 Mn | 1.99 Mn |
Historic Data
Download Data
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 |
API Access
Smith Midland EBIT 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=ebit&ticker=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();