Dirtt Environmental Solutions (DRTTF) Assets (2018 - 2026)
Dirtt Environmental Solutions' Assets came in at $87.89 million for Q2 2026, down 19.7% from $109.5 million a year earlier and down 7.7% from the prior quarter.
Dirtt Environmental Solutions (DRTTF) Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Dirtt Environmental Solutions' Assets was $102.5 million, down 13.3% from FY2024.
- Assets has declined in each of the last four years, with a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- Going back by year, Assets was $118.22 million in FY2024 (-4.9%), $124.32 million in FY2023 (-13.5%), $143.65 million in FY2022 (-28.0%) and $199.44 million in FY2021 (+8.9%).
- The Q2 2026 figure represents the lowest quarterly Assets in data going back to Q4 2018.
- Year-over-year, Assets has declined for 18 consecutive quarters, with an average decline of 12.9% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in Q4 2021 (growth of 8.9%), and the weakest in Q4 2022 (a decline of 28.0%).
- Business Quant data shows DRTTF's Assets at $95.24 million (Q1 2026), $102.5 million (Q4 2025) and $109.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 104.14 Bn | 98.86 Bn | 2.26 Bn | 23.93 Bn |
| 2 | Johnson Controls International | 91.59 Bn | 89.32 Bn | 2.47 Bn | 38.76 Bn |
| 3 | Comfort Systems Usa | 49.30 Bn | 44.56 Bn | 844.23 Mn | 8.49 Bn |
| 4 | Carrier Global | 46.68 Bn | 40.99 Bn | 1.94 Bn | 37.37 Bn |
| 5 | Otis Worldwide | 27.65 Bn | 24.06 Bn | 1.14 Bn | 11.16 Bn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn | 13.49 Bn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn | 5.40 Bn |
| 8 | Carlisle Companies | 13.70 Bn | 10.04 Bn | 568.40 Mn | 6.23 Bn |
| 9 | Allegion | 13.58 Bn | 12.29 Bn | 517.50 Mn | 5.36 Bn |
| 10 | Dirtt Environmental Solutions | 104.59 Mn | 28.30 Mn | 13.98 Mn | 87.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.89 Mn |
| Mar 31, 2026 | 95.24 Mn |
| Dec 31, 2025 | 102.50 Mn |
| Sep 30, 2025 | 109.21 Mn |
| Jun 30, 2025 | 109.50 Mn |
| Mar 31, 2025 | 111.87 Mn |
| Dec 31, 2024 | 118.22 Mn |
| Sep 30, 2024 | 118.22 Mn |
| Jun 30, 2024 | 133.33 Mn |
| Mar 31, 2024 | 131.97 Mn |
| Dec 31, 2023 | 124.32 Mn |
| Sep 30, 2023 | 130.33 Mn |
| Jun 30, 2023 | 144.24 Mn |
| Mar 31, 2023 | 139.29 Mn |
| Dec 31, 2022 | 143.65 Mn |
| Sep 30, 2022 | 151.92 Mn |
| Jun 30, 2022 | 162.41 Mn |
| Mar 31, 2022 | 184.46 Mn |
| Dec 31, 2021 | 199.44 Mn |
| Sep 30, 2021 | 185.76 Mn |
Dirtt Environmental Solutions Assets 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=assets&ticker=DRTTF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DRTTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();