Dirtt Environmental Solutions (DRTTF) Total Non-Current Liabilities (2019 - 2024)
Dirtt Environmental Solutions (DRTTF) posted Total Non-Current Liabilities of $77.92 million for Q3 2024, down 37.2% from $124.12 million a year earlier.
Dirtt Environmental Solutions (DRTTF) Total Non-Current Liabilities (2019 - 2024) Analysis & Trends
At the end of FY2023, Dirtt Environmental Solutions' Total Non-Current Liabilities came in at $116.92 million.
- Annual Total Non-Current Liabilities shows a four-year compound annual growth rate of 23.3% (FY2019 to FY2023).
- In prior years, Dirtt Environmental Solutions' Total Non-Current Liabilities was $50.54 million in FY2019.
- The Q3 2024 figure stands as the lowest quarterly Total Non-Current Liabilities since Q2 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 103.40 Bn | 98.12 Bn | 2.26 Bn | 13.62 Bn |
| 2 | Johnson Controls International | 91.74 Bn | 89.47 Bn | 2.47 Bn | 13.96 Bn |
| 3 | Comfort Systems Usa | 50.23 Bn | 45.48 Bn | 844.23 Mn | 5.10 Bn |
| 4 | Carrier Global | 46.82 Bn | 41.12 Bn | 1.94 Bn | 21.79 Bn |
| 5 | Otis Worldwide | 27.76 Bn | 24.17 Bn | 1.14 Bn | 16.58 Bn |
| 6 | James Hardie Industries | 15.32 Bn | 14.39 Bn | 548.70 Mn | 6.83 Bn |
| 7 | Masco | 14.89 Bn | 12.75 Bn | 868.00 Mn | 5.38 Bn |
| 8 | Carlisle Companies | 13.70 Bn | 10.05 Bn | 568.40 Mn | 4.36 Bn |
| 9 | Allegion | 13.48 Bn | 12.19 Bn | 517.50 Mn | 2.81 Bn |
| 10 | Dirtt Environmental Solutions | 104.94 Mn | 28.66 Mn | 13.98 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 77.92 Mn |
| Dec 31, 2023 | 116.92 Mn |
| Sep 30, 2023 | 124.12 Mn |
| Jun 30, 2023 | 132.15 Mn |
| Mar 31, 2023 | 129.81 Mn |
| Jun 30, 2020 | 48.56 Mn |
| Mar 31, 2020 | 50.70 Mn |
| Dec 31, 2019 | 50.54 Mn |
| Sep 30, 2019 | 56.29 Mn |
Dirtt Environmental Solutions 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=DRTTF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DRTTF", "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=DRTTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();