Dirtt Environmental Solutions (DRTTF) Total Liabilities (2018 - 2026)
Dirtt Environmental Solutions (DRTTF) reported Total Liabilities of $62.17 million for Q2 2026, down 17.1% from $75.01 million a year earlier and down 12.2% from the prior quarter.
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Analysis
Dirtt Environmental Solutions (DRTTF) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Dirtt Environmental Solutions posted Total Liabilities of $73.97 million, down 2.2% from FY2024.
- Total Liabilities has declined for four consecutive years, though with a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- By year, Total Liabilities came in at $75.63 million in FY2024 (-35.5%), $117.22 million in FY2023 (-6.7%), $125.66 million in FY2022 (-4.6%) and $131.67 million in FY2021 (+97.7%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q2 2020.
- Year over year, Total Liabilities has now declined in each of the last 15 quarters, with an average decline of 18.6% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 97.7%); the low point was Q3 2024 (a decline of 37.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $70.79 million (Q1 2026), $73.97 million (Q4 2025) and $77.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 15.28 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 25.24 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 5.27 Bn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 23.90 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 16.90 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 6.95 Bn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 5.77 Bn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 4.62 Bn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 3.24 Bn |
| 10 | Dirtt Environmental Solutions | 108.52 Mn | 32.24 Mn | 13.98 Mn | 62.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.17 Mn |
| Mar 31, 2026 | 70.79 Mn |
| Dec 31, 2025 | 73.97 Mn |
| Sep 30, 2025 | 77.72 Mn |
| Jun 30, 2025 | 75.01 Mn |
| Mar 31, 2025 | 72.67 Mn |
| Dec 31, 2024 | 75.63 Mn |
| Sep 30, 2024 | 78.22 Mn |
| Jun 30, 2024 | 101.43 Mn |
| Mar 31, 2024 | 100.55 Mn |
| Dec 31, 2023 | 117.22 Mn |
| Sep 30, 2023 | 124.42 Mn |
| Jun 30, 2023 | 132.45 Mn |
| Mar 31, 2023 | 131.91 Mn |
| Dec 31, 2022 | 125.66 Mn |
| Sep 30, 2022 | 130.90 Mn |
| Jun 30, 2022 | 135.24 Mn |
| Mar 31, 2022 | 138.16 Mn |
| Dec 31, 2021 | 131.67 Mn |
| Sep 30, 2021 | 103.82 Mn |
API Access
Dirtt Environmental Solutions Total 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-liabilities&ticker=DRTTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=DRTTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();