DMC Global (BOOM) Operating Expenses (2010 - 2026)
DMC Global (BOOM) posted Operating Expenses of $29.14 million for Q2 2026, down 11.3% from $32.83 million a year earlier and down 1.3% from the prior quarter.
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Analysis
DMC Global (BOOM) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at DMC Global was $126.51 million, down 54.7% year-over-year; for FY2025, it came in at $135.36 million, down 52.0% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- In prior years, DMC Global's Operating Expenses was $281.83 million in FY2024 (+86.8%), $150.88 million in FY2023 (-2.9%), $155.46 million in FY2022 (+151.2%) and $61.88 million in FY2021 (+7.0%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q4 2021.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with growth averaging 37.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2024, with growth of 413.1%; the weakest was Q3 2025, with a decline of 82.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $29.53 million (Q1 2026), $35.62 million (Q4 2025) and $32.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 210.70 Mn |
| 10 | DMC Global | 114.62 Mn | 183.33 Mn | 34.36 Mn | 29.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.14 Mn |
| Mar 31, 2026 | 29.53 Mn |
| Dec 31, 2025 | 35.62 Mn |
| Sep 30, 2025 | 32.22 Mn |
| Jun 30, 2025 | 32.83 Mn |
| Mar 31, 2025 | 34.69 Mn |
| Dec 31, 2024 | 32.40 Mn |
| Sep 30, 2024 | 179.04 Mn |
| Jun 30, 2024 | 34.73 Mn |
| Mar 31, 2024 | 35.66 Mn |
| Dec 31, 2023 | 36.10 Mn |
| Sep 30, 2023 | 34.90 Mn |
| Jun 30, 2023 | 34.89 Mn |
| Mar 31, 2023 | 44.99 Mn |
| Dec 31, 2022 | 34.54 Mn |
| Sep 30, 2022 | 37.94 Mn |
| Jun 30, 2022 | 42.17 Mn |
| Mar 31, 2022 | 40.82 Mn |
| Dec 31, 2021 | 18.43 Mn |
| Sep 30, 2021 | 15.53 Mn |
API Access
DMC Global Operating Expenses 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=operating-expenses&ticker=BOOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BOOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();