Smith Midland (SMID) Total Current Liabilities (2010 - 2026)
Smith Midland's Total Current Liabilities came in at $11.35 million for Q2 2026, compared with $16,485 a year earlier and down 31.5% from the prior quarter.
Smith Midland (SMID) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Smith Midland's Total Current Liabilities was $14.33 million, down 4.5% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $15.01 million in FY2024 (-6.3%), $16.02 million in FY2023 (+42.7%), $11.22 million in FY2022 (-19.3%) and $13.9 million in FY2021 (+56.2%).
- The five-year range for quarterly Total Current Liabilities is $16,485 (Q2 2025) to $18.03 million (Q3 2025).
- Year-over-year, Total Current Liabilities increased in 1 of the last six quarters, with growth averaging 4.2%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2021 (growth of 56.2%), and the weakest in Q4 2022 (a decline of 19.3%).
- Business Quant data shows SMID's Total Current Liabilities at $16.58 million (Q1 2026), $14.33 million (Q4 2025) and $18.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 8.39 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 11.28 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 4.77 Bn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 9.23 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 8.23 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 1.11 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.65 Bn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 777.30 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 883.40 Mn |
| 10 | Smith Midland | 127.95 Mn | 78.81 Mn | 5.42 Mn | 11.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.35 Mn |
| Mar 31, 2026 | 16.58 Mn |
| Dec 31, 2025 | 14.33 Mn |
| Sep 30, 2025 | 18.03 Mn |
| Jun 30, 2025 | 16,485.00 |
| Mar 31, 2025 | 17.25 Mn |
| Dec 31, 2024 | 15.01 Mn |
| Sep 30, 2024 | 12.61 Mn |
| Mar 31, 2024 | 17.39 Mn |
| Dec 31, 2023 | 16.02 Mn |
| Sep 30, 2023 | 12.93 Mn |
| Jun 30, 2023 | 13.01 Mn |
| Mar 31, 2023 | 13.19 Mn |
| Dec 31, 2022 | 11.22 Mn |
| Sep 30, 2022 | 10.86 Mn |
| Jun 30, 2022 | 11.49 Mn |
| Mar 31, 2022 | 14.57 Mn |
| Dec 31, 2021 | 13.90 Mn |
| Sep 30, 2021 | 13.03 Mn |
| Jun 30, 2021 | 14.04 Mn |
Smith Midland Total Current Liabilities 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=total-current-liabilities&ticker=SMID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();