Smith Midland (SMID) Total Non-Current Liabilities (2009 - 2026)
Smith Midland (SMID) reported Total Non-Current Liabilities of $24.41 million for Q4 2023, up 18.9% from $20.52 million a year earlier.
Powered by 
Analysis
Smith Midland (SMID) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
Dating back to Q4 2010, Smith Midland's Total Non-Current Liabilities record includes 48 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 3.2% (FY2018 to FY2023).
- By year, Total Non-Current Liabilities came in at $20.52 million in FY2022 (+1.6%), $20.2 million in FY2021 (-9.3%), $22.28 million in FY2020 (+10.2%) and $20.22 million in FY2019 (-2.9%).
- The Q4 2023 figure ranks as the highest quarterly Total Non-Current Liabilities since Q2 2021.
- Year over year, Total Non-Current Liabilities gained in two of the last four quarters, with growth averaging 1.2%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2019 (growth of 68.7%); the low point was Q2 2022 (a decline of 14.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 13.01 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | 13.64 Bn |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 21.07 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 6.28 Bn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 16.41 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 6.57 Bn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 5.40 Bn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 2.85 Bn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 4.33 Bn |
| 10 | Smith Midland | 114.15 Mn | 65.01 Mn | 5.42 Mn | 28.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.90 Mn |
| Mar 31, 2026 | 34.49 Mn |
| Dec 31, 2025 | 31.04 Mn |
| Sep 30, 2025 | 30.62 Mn |
| Jun 30, 2025 | -51.80 Mn |
| Mar 31, 2025 | 27.43 Mn |
| Dec 31, 2024 | 24.71 Mn |
| Sep 30, 2024 | 24.80 Mn |
| Jun 30, 2024 | 24.28 Mn |
| Mar 31, 2024 | 26.59 Mn |
| Dec 31, 2023 | 24.41 Mn |
| Sep 30, 2023 | 21.40 Mn |
| Jun 30, 2023 | 20.27 Mn |
| Mar 31, 2023 | 20.85 Mn |
| Dec 31, 2022 | 20.52 Mn |
| Sep 30, 2022 | 19.85 Mn |
| Jun 30, 2022 | 20.91 Mn |
| Mar 31, 2022 | 23.50 Mn |
| Dec 31, 2021 | 20.20 Mn |
| Sep 30, 2021 | 22.17 Mn |
API Access
Smith Midland Total Non-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-non-current-liabilities&ticker=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();