Smith Midland (SMID) Total Non-Current Liabilities (2010 - 2023)
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.
Analysis
Smith Midland (SMID) Total Non-Current Liabilities (2010 - 2023) 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 | 99.46 Bn | 94.20 Bn | 2.26 Bn | 13.62 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 13.96 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 5.10 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 21.79 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 16.58 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 6.88 Bn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 5.38 Bn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 2.81 Bn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 4.36 Bn |
| 10 | Smith Midland | 121.00 Mn | 71.86 Mn | 5.42 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 24.41 Mn |
| Dec 31, 2022 | 20.52 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 |
| Jun 30, 2021 | 24.41 Mn |
| Mar 31, 2021 | 23.80 Mn |
| Dec 31, 2020 | 22.28 Mn |
| Sep 30, 2020 | 22.57 Mn |
| Jun 30, 2020 | 22.28 Mn |
| Mar 31, 2020 | 19.02 Mn |
| Dec 31, 2019 | 20.22 Mn |
| Sep 30, 2019 | 18.98 Mn |
| Jun 30, 2019 | 18.63 Mn |
| Mar 31, 2019 | 19.42 Mn |
| Dec 31, 2018 | 20.83 Mn |
| Sep 30, 2018 | 15.29 Mn |
| Jun 30, 2018 | 14.13 Mn |
| Mar 31, 2018 | 11.52 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_KEY
import 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();