Smith Midland (SMID) Selling, General & Administrative (2011 - 2026)
Smith Midland (SMID) reported Selling, General & Administrative of $2.48 million for Q2 2026, up 64.0% from $1.51 million a year earlier and up 41.6% from the prior quarter.
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Analysis
Smith Midland (SMID) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Smith Midland's Selling, General & Administrative came in at $6.81 million, up 5.8% year-over-year; for FY2025, it came in at $5.67 million, down 13.5% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $6.55 million in FY2024 (+9.4%), $5.99 million in FY2023 (+7.9%), $5.55 million in FY2022 (+2.5%) and $5.42 million in FY2021 (+8.6%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q4 2015.
- Year over year, Selling, General & Administrative gained in five of the last seven quarters, with growth averaging 11.4%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2026 (growth of 64.0%); the low point was Q3 2025 (a decline of 36.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.75 million (Q1 2026), $1.47 million (Q4 2025) and $1.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 1.41 Bn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 810.00 Mn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 520.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 295.40 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 199.30 Mn |
| 10 | Smith Midland | 117.76 Mn | 68.62 Mn | 5.42 Mn | 2.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.48 Mn |
| Mar 31, 2026 | 1.75 Mn |
| Dec 31, 2025 | 1.47 Mn |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 1.51 Mn |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | 1.62 Mn |
| Sep 30, 2024 | 1.72 Mn |
| Mar 31, 2024 | 1.55 Mn |
| Dec 31, 2023 | 1.57 Mn |
| Sep 30, 2023 | 1.19 Mn |
| Jun 30, 2023 | 1.88 Mn |
| Mar 31, 2023 | 1.35 Mn |
| Dec 31, 2022 | 1.75 Mn |
| Sep 30, 2022 | 1.23 Mn |
| Jun 30, 2022 | 1.41 Mn |
| Mar 31, 2022 | 1.16 Mn |
| Dec 31, 2021 | 1.54 Mn |
| Sep 30, 2021 | 1.22 Mn |
| Jun 30, 2021 | 1.34 Mn |
API Access
Smith Midland Selling, General & Administrative 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=selling-general-and-administrative&ticker=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();