Smith Midland (SMID) Cash & Equivalents (2010 - 2026)
Smith Midland (SMID) recorded Cash & Equivalents of $10.66 million in Q2 2026, up 50.2% from $7.1 million a year earlier but down 19.3% from the prior quarter.
Smith Midland (SMID) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Smith Midland reported Cash & Equivalents of $11.88 million, up 57.4% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $7.55 million in FY2024 (-17.7%), $9.18 million in FY2023 (+36.4%), $6.73 million in FY2022 (-50.1%) and $13.49 million in FY2021 (+53.9%).
- Quarterly Cash & Equivalents has ranged from $7,288 in Q2 2024 to $15 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 38.8% over the last seven quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 101.3% in Q3 2021, against a decline of 99.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.22 million (Q1 2026), $11.88 million (Q4 2025) and $13.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Smith Midland | 117.76 Mn | 68.62 Mn | 5.42 Mn | 10.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.66 Mn |
| Mar 31, 2026 | 13.22 Mn |
| Dec 31, 2025 | 11.88 Mn |
| Sep 30, 2025 | 13.38 Mn |
| Jun 30, 2025 | 7.10 Mn |
| Mar 31, 2025 | 9.01 Mn |
| Dec 31, 2024 | 7.55 Mn |
| Sep 30, 2024 | 9.01 Mn |
| Jun 23, 2024 | 7,288.00 |
| Mar 31, 2024 | 6.80 Mn |
| Dec 31, 2023 | 9.18 Mn |
| Sep 30, 2023 | 5.85 Mn |
| Jun 30, 2023 | 4.73 Mn |
| Mar 31, 2023 | 3.94 Mn |
| Dec 31, 2022 | 6.73 Mn |
| Sep 30, 2022 | 10.81 Mn |
| Jun 30, 2022 | 12.43 Mn |
| Mar 31, 2022 | 14.82 Mn |
| Dec 31, 2021 | 13.49 Mn |
| Sep 30, 2021 | 15.00 Mn |
Smith Midland Cash & Equivalents 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=cash-and-equivalents&ticker=SMID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();