Smith Midland (SMID) Accumulated Expenses (2009 - 2026)
Smith Midland's Accumulated Expenses was $1.72 million in Q2 2026, compared with $437.00 a year earlier and up 736.6% from the prior quarter.
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Analysis
Smith Midland (SMID) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Smith Midland came in at $2.16 million, up 404.4% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $429,000 in FY2024 (-48.4%), $831,000 in FY2023 (+4.0%), $799,000 in FY2022 (+21.6%) and $657,000 in FY2021 (-24.9%).
- Quarterly Accumulated Expenses has moved between $437.00 (Q2 2025) and $2.16 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last six quarters, with growth averaging 25.9%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2025 (growth of 404.4%); the worst was Q1 2025 (a decline of 79.1%).
- Per Business Quant data, SMID's Accumulated Expenses in the three quarters before Q2 2026 was $205,000 (Q1 2026), $2.16 million (Q4 2025) and $466,000 (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 | 1.72 Mn |
| Mar 31, 2026 | 205,000.00 |
| Dec 31, 2025 | 2.16 Mn |
| Sep 30, 2025 | 466,000.00 |
| Jun 30, 2025 | 437.00 |
| Mar 31, 2025 | 397,000.00 |
| Dec 31, 2024 | 429,000.00 |
| Sep 30, 2024 | 852,000.00 |
| Jun 30, 2024 | 1.11 Mn |
| Mar 31, 2024 | 1.90 Mn |
| Dec 31, 2023 | 831,000.00 |
| Sep 30, 2023 | 1.18 Mn |
| Jun 30, 2023 | 874,000.00 |
| Mar 31, 2023 | 745,000.00 |
| Dec 31, 2022 | 799,000.00 |
| Sep 30, 2022 | 427,000.00 |
| Jun 30, 2022 | 1.02 Mn |
| Mar 31, 2022 | 292,000.00 |
| Dec 31, 2021 | 657,000.00 |
| Sep 30, 2021 | 789,000.00 |
API Access
Smith Midland Accumulated Expenses 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=accumulated-expenses&ticker=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();