DMC Global (BOOM) Enterprise Value (2010 - 2026)
DMC Global's Enterprise Value came in at $277.87 million for Q2 2026, down 18.4% from $340.54 million a year earlier but up 6.0% from the prior quarter.
DMC Global (BOOM) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DMC Global reported Enterprise Value of $188.05 million, down 36.7% year-over-year; for FY2025, it was $292.23 million, down 9.1% from FY2024.
- Enterprise Value has declined in each of the last four years, with a five-year compound annual growth rate of -13.7% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $321.57 million in FY2024 (-37.7%), $516.48 million in FY2023 (-5.0%), $543.9 million in FY2022 (-41.7%) and $932.69 million in FY2021 (+52.5%).
- The five-year range for quarterly Enterprise Value is $262.21 million (Q1 2026) to $932.69 million (Q4 2021).
- Year-over-year, Enterprise Value has declined for 11 consecutive quarters, with an average decline of 26.0% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2021 (growth of 52.5%), and the weakest in Q4 2022 (a decline of 41.7%).
- Business Quant data shows BOOM's Enterprise Value at $262.21 million (Q1 2026), $292.23 million (Q4 2025) and $334.66 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | DMC Global | 114.62 Mn | 183.33 Mn | 34.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 277.87 Mn |
| Mar 31, 2026 | 262.21 Mn |
| Dec 31, 2025 | 292.23 Mn |
| Sep 30, 2025 | 334.66 Mn |
| Jun 30, 2025 | 340.54 Mn |
| Mar 31, 2025 | 344.91 Mn |
| Dec 31, 2024 | 321.57 Mn |
| Sep 30, 2024 | 432.51 Mn |
| Jun 30, 2024 | 461.47 Mn |
| Mar 31, 2024 | 556.09 Mn |
| Dec 31, 2023 | 516.48 Mn |
| Sep 30, 2023 | 635.51 Mn |
| Jun 30, 2023 | 517.40 Mn |
| Mar 31, 2023 | 601.05 Mn |
| Dec 31, 2022 | 543.90 Mn |
| Sep 30, 2022 | 488.56 Mn |
| Jun 30, 2022 | 537.47 Mn |
| Mar 31, 2022 | 776.48 Mn |
| Dec 31, 2021 | 932.69 Mn |
| Sep 30, 2021 | 509.18 Mn |
DMC Global 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=BOOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "BOOM", "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=BOOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();