Dirtt Environmental Solutions (DRTTF) Enterprise Value (2018 - 2026)
Dirtt Environmental Solutions (DRTTF) recorded Enterprise Value of $92.06 million in Q2 2026, up 1.0% from $91.17 million a year earlier but down 5.4% from the prior quarter.
Dirtt Environmental Solutions (DRTTF) Enterprise Value (2018 - 2026) Analysis & Trends
On a TTM basis, Dirtt Environmental Solutions' Enterprise Value came in at $30.6 million as of Jun 30, 2026, up 211.9% year-over-year; for FY2025, it was $110.17 million, up 5.6% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $104.3 million in FY2024 (+759.3%), $12.14 million in FY2023 (-70.4%), $41.06 million in FY2022 (-67.3%) and $125.74 million in FY2021 (-23.0%).
- Quarterly Enterprise Value has ranged from $9.34 million in Q2 2023 to $221.25 million in Q3 2021 over the past five years.
- On a year-over-year basis, Enterprise Value rose in seven of the last eight quarters, with growth averaging 150.3%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 759.3% in Q4 2024, against a decline of 87.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $97.34 million (Q1 2026), $110.17 million (Q4 2025) and $83.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn |
| 10 | Dirtt Environmental Solutions | 108.52 Mn | 32.24 Mn | 13.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.06 Mn |
| Mar 31, 2026 | 97.34 Mn |
| Dec 31, 2025 | 110.17 Mn |
| Sep 30, 2025 | 83.22 Mn |
| Jun 30, 2025 | 91.17 Mn |
| Mar 31, 2025 | 106.28 Mn |
| Dec 31, 2024 | 104.30 Mn |
| Sep 30, 2024 | 76.94 Mn |
| Jun 30, 2024 | 45.38 Mn |
| Mar 31, 2024 | 55.03 Mn |
| Dec 31, 2023 | 12.14 Mn |
| Sep 30, 2023 | 22.46 Mn |
| Jun 30, 2023 | 9.34 Mn |
| Mar 31, 2023 | 44.27 Mn |
| Dec 31, 2022 | 41.06 Mn |
| Sep 30, 2022 | 32.22 Mn |
| Jun 30, 2022 | 74.21 Mn |
| Mar 31, 2022 | 77.92 Mn |
| Dec 31, 2021 | 125.74 Mn |
| Sep 30, 2021 | 221.25 Mn |
Dirtt Environmental Solutions Enterprise Value 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=enterprise-value&ticker=DRTTF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DRTTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();