Smith Midland (SMID) EPS (Diluted) (2011 - 2026)
Smith Midland (SMID) reported EPS (Diluted) of $0.26 for Q2 2026, down 66.9% from $0.79 a year earlier but up 3.1% from the prior quarter.
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Analysis
Smith Midland (SMID) EPS (Diluted) (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Smith Midland's EPS (Diluted) came in at $1.46, down 35.9% year-over-year; for FY2025, it was $2.36, up 62.5% from FY2024.
- EPS (Diluted) has a five-year compound annual growth rate of 35.6% (FY2020 to FY2025).
- By year, EPS (Diluted) came in at $1.45 in FY2024 (+866.0%), $0.15 in FY2023 (-1.4%), $0.15 in FY2022 (-89.5%) and $1.45 in FY2021 (+181.6%).
- Five-year quarterly EPS (Diluted) spans a low of -$0.15 in Q2 2023 and a high of $0.79 in Q2 2025.
- Year over year, EPS (Diluted) gained in four of the last seven quarters, with growth averaging 109.4%.
- The high point for year-over-year EPS (Diluted) in five years was Q4 2024 (growth of 507.7%); the low point was Q3 2022 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $0.25 (Q1 2026), $0.40 (Q4 2025) and $0.54 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 4.16 |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.23 |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 12.53 |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 0.60 |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 1.12 |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 0.18 |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.60 |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 2.15 |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 6.30 |
| 10 | Smith Midland | 127.95 Mn | 78.81 Mn | 5.42 Mn | 0.26 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.26 |
| Mar 31, 2026 | 0.25 |
| Dec 31, 2025 | 0.40 |
| Sep 30, 2025 | 0.54 |
| Jun 30, 2025 | 0.79 |
| Mar 31, 2025 | 0.63 |
| Dec 31, 2024 | 0.26 |
| Sep 30, 2024 | 0.59 |
| Mar 31, 2024 | 0.21 |
| Dec 31, 2023 | 0.04 |
| Sep 30, 2023 | 0.24 |
| Jun 30, 2023 | -0.15 |
| Mar 31, 2023 | 0.02 |
| Dec 31, 2022 | 0.00 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | 0.17 |
| Mar 31, 2022 | -0.02 |
| Dec 31, 2021 | 0.00 |
| Sep 30, 2021 | 0.71 |
| Jun 30, 2021 | 0.19 |
API Access
Smith Midland EPS (Diluted) 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=eps-diluted&ticker=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();