Smith Midland (SMID) Price to Earnings (2009 - 2026)
Smith Midland's Price to Earnings was 19.91 in Q2 2026, up 34.7% from 14.78 a year earlier and up 21.3% from the prior quarter.
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Analysis
Smith Midland (SMID) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Smith Midland came in at 15.42, down 49.8% from FY2024.
- In earlier years, Price to Earnings was 30.73 in FY2024 (-88.3%), 263.76 in FY2023 (+95.8%), 134.70 in FY2022 (+314.8%) and 32.47 in FY2021 (+76.0%).
- The Q2 2026 figure marks the highest quarterly Price to Earnings since Q4 2024.
- Compared with a year earlier, Price to Earnings was higher in 1 of the last seven quarters, with an average decline of 48.0%.
- The best year-over-year quarter for Price to Earnings over five years was Q1 2023 (growth of 387.4%); the worst was Q1 2025 (a decline of 86.4%).
- Per Business Quant data, SMID's Price to Earnings in the three quarters before Q2 2026 was 16.41 (Q1 2026), 15.42 (Q4 2025) and 16.63 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 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 |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn |
| 10 | Smith Midland | 114.15 Mn | 65.01 Mn | 5.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.91 |
| Mar 31, 2026 | 16.41 |
| Dec 31, 2025 | 15.42 |
| Sep 30, 2025 | 16.63 |
| Jun 30, 2025 | 14.78 |
| Mar 31, 2025 | 16.72 |
| Dec 31, 2024 | 30.73 |
| Sep 30, 2024 | 27.22 |
| Jun 30, 2024 | 31.77 |
| Mar 31, 2024 | 134.01 |
| Dec 31, 2023 | 264.10 |
| Sep 30, 2023 | 175.96 |
| Mar 31, 2023 | 98.71 |
| Dec 31, 2022 | 134.70 |
| Sep 30, 2022 | 170.63 |
| Jun 30, 2022 | 16.24 |
| Mar 31, 2022 | 20.25 |
| Dec 31, 2021 | 32.47 |
| Sep 30, 2021 | 8.74 |
| Jun 30, 2021 | 20.08 |
API Access
Smith Midland Price to Earnings 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=price-to-earnings&ticker=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();