Dirtt Environmental Solutions (DRTTF) Restructuring Costs (2018 - 2026)
Dirtt Environmental Solutions' Restructuring Costs came in at $1.06 million for Q2 2026, up 506.9% from $174,000 a year earlier but down 55.4% from the prior quarter.
Dirtt Environmental Solutions (DRTTF) Restructuring Costs (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dirtt Environmental Solutions reported Restructuring Costs of $7.97 million, up 588.6% year-over-year; for FY2025, it came in at $4.93 million, up 342.8% from FY2024.
- Restructuring Costs carries a three-year compound annual growth rate of -28.5% (FY2022 to FY2025).
- Going back by year, Restructuring Costs was $1.11 million in FY2024 (-63.0%), $3.01 million in FY2023 (-77.6%) and $13.46 million in FY2022.
- The five-year range for quarterly Restructuring Costs is $138,000 (Q1 2024) to $5.16 million (Q2 2022).
- Year-over-year, Restructuring Costs increased in five of the last six quarters, with growth averaging 162.3%.
- The fastest year-over-year change in Restructuring Costs over five years came in Q2 2026 (growth of 506.9%), and the weakest in Q3 2023 (a decline of 90.6%).
- Business Quant data shows DRTTF's Restructuring Costs at $2.37 million (Q1 2026), $1.95 million (Q4 2025) and $2.59 million (Q3 2025) in the three quarters before Q2 2026.
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 | 1.06 Mn |
| Mar 31, 2026 | 2.37 Mn |
| Dec 31, 2025 | 1.95 Mn |
| Sep 30, 2025 | 2.59 Mn |
| Jun 30, 2025 | 174,000.00 |
| Mar 31, 2025 | 210,000.00 |
| Dec 31, 2024 | 169,000.00 |
| Sep 30, 2024 | 604,000.00 |
| Jun 30, 2024 | 202,000.00 |
| Mar 31, 2024 | 138,000.00 |
| Dec 31, 2023 | 152,000.00 |
| Sep 30, 2023 | 321,000.00 |
| Jun 30, 2023 | 1.47 Mn |
| Mar 31, 2023 | 1.07 Mn |
| Dec 31, 2022 | 1.18 Mn |
| Sep 30, 2022 | 3.43 Mn |
| Jun 30, 2022 | 5.16 Mn |
| Mar 31, 2022 | 3.69 Mn |
| Dec 31, 2019 | 1.92 Mn |
| Mar 31, 2019 | 2.64 Mn |
Dirtt Environmental Solutions Restructuring Costs 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=restructuring-costs&ticker=DRTTF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=DRTTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();