Smith Midland (SMID) Property, Plant & Equipment (Net) (2010 - 2026)
Smith Midland (SMID) recorded Property, Plant & Equipment (Net) of $40.01 million in Q2 2026, compared with $33,194 a year earlier and up 0.1% from the prior quarter.
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Analysis
Smith Midland (SMID) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Smith Midland reported Property, Plant & Equipment (Net) of $38.48 million, up 21.4% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for 11 straight years, with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $31.7 million in FY2024 (+14.5%), $27.68 million in FY2023 (+10.2%), $25.12 million in FY2022 (+14.6%) and $21.93 million in FY2021 (+17.9%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 32.4% in Q3 2022, against a decline of 3.6% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.98 million (Q1 2026), $38.48 million (Q4 2025) and $35.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 2.39 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 1.98 Bn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 653.87 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 3.16 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 755.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 3.05 Bn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 1.19 Bn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 451.80 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 827.60 Mn |
| 10 | Smith Midland | 117.76 Mn | 68.62 Mn | 5.42 Mn | 40.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.01 Mn |
| Mar 31, 2026 | 39.98 Mn |
| Dec 31, 2025 | 38.48 Mn |
| Sep 30, 2025 | 35.13 Mn |
| Jun 30, 2025 | 33,194.00 |
| Mar 31, 2025 | 32.66 Mn |
| Dec 31, 2024 | 31.70 Mn |
| Sep 30, 2024 | 31.19 Mn |
| Mar 31, 2024 | 28.83 Mn |
| Dec 31, 2023 | 27.68 Mn |
| Sep 30, 2023 | 27.41 Mn |
| Jun 30, 2023 | 26.89 Mn |
| Mar 31, 2023 | 25.68 Mn |
| Dec 31, 2022 | 25.12 Mn |
| Sep 30, 2022 | 24.17 Mn |
| Jun 30, 2022 | 22.91 Mn |
| Mar 31, 2022 | 21.63 Mn |
| Dec 31, 2021 | 21.93 Mn |
| Sep 30, 2021 | 18.25 Mn |
| Jun 30, 2021 | 18.61 Mn |
API Access
Smith Midland Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();