Smith Midland (SMID) Revenue (2009 - 2026)
Smith Midland (SMID) recorded Revenue of $23.36 million in Q2 2026, down 10.8% from $26.19 million a year earlier but up 8.3% from the prior quarter.
Smith Midland (SMID) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Smith Midland's Revenue came in at $89.5 million as of Jun 30, 2026, down 1.6% year-over-year; for FY2025, it was $93.45 million, up 19.0% from FY2024.
- Annual Revenue has increased for three straight years, with a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $78.51 million in FY2024 (+31.8%), $59.58 million in FY2023 (+18.8%), $50.13 million in FY2022 (-1.0%) and $50.64 million in FY2021 (+15.5%).
- Quarterly Revenue has ranged from $10.02 million in Q4 2021 to $26.19 million in Q2 2025 over the past five years.
- On a year-over-year basis, Revenue rose in four of the last seven quarters, with growth averaging 14.2%.
- Peak year-over-year performance for Revenue in the last five years was growth of 50.7% in Q3 2024, against a decline of 31.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.57 million (Q1 2026), $23.11 million (Q4 2025) and $21.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 6.76 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 6.26 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 3.77 Bn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 3.91 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 1.43 Bn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 1.97 Bn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 1.17 Bn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 1.46 Bn |
| 10 | Smith Midland | 114.15 Mn | 65.01 Mn | 5.42 Mn | 23.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.36 Mn |
| Mar 31, 2026 | 21.57 Mn |
| Dec 31, 2025 | 23.11 Mn |
| Sep 30, 2025 | 21.45 Mn |
| Jun 30, 2025 | 26.19 Mn |
| Mar 31, 2025 | 22.70 Mn |
| Dec 31, 2024 | 18.53 Mn |
| Sep 30, 2024 | 23.58 Mn |
| Jun 30, 2024 | 19.64 Mn |
| Mar 31, 2024 | 16.76 Mn |
| Dec 31, 2023 | 16.39 Mn |
| Sep 30, 2023 | 15.65 Mn |
| Jun 30, 2023 | 14.70 Mn |
| Mar 31, 2023 | 12.84 Mn |
| Dec 31, 2022 | 14.49 Mn |
| Sep 30, 2022 | 11.96 Mn |
| Jun 30, 2022 | 13.25 Mn |
| Mar 31, 2022 | 10.44 Mn |
| Dec 31, 2021 | 10.02 Mn |
| Sep 30, 2021 | 13.10 Mn |
Smith Midland Revenue 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=revenue&ticker=SMID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();