DMC Global (BOOM) Cost of Revenue (2009 - 2026)
DMC Global (BOOM) reported Cost of Revenue of $126.38 million for Q3 2026, up 6.5% from $118.7 million a year earlier and up 3.1% from the prior quarter.
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Analysis
DMC Global (BOOM) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, DMC Global's Cost of Revenue came in at $478.17 million, up 0.4% year-over-year; for FY2025, it was $474.59 million, down 3.6% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $492.28 million in FY2024 (-2.9%), $507.14 million in FY2023 (+8.2%), $468.64 million in FY2022 (+133.6%) and $200.64 million in FY2021 (+16.4%).
- The Q3 2026 figure ranks as the highest quarterly Cost of Revenue since Q4 2023.
- Year over year, Cost of Revenue gained in two of the last eight quarters, with an average decline of 2.2%.
- The high point for year-over-year Cost of Revenue in five years was Q3 2022 (growth of 143.8%); the low point was Q1 2026 (a decline of 6.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $122.6 million (Q2 2026), $110.15 million (Q1 2026) and $119.04 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 4.37 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 4.36 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 2.83 Bn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 2.76 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 865.80 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 1.25 Bn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 624.40 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 968.50 Mn |
| 10 | DMC Global | 159.60 Mn | 216.77 Mn | 46.45 Mn | 126.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.38 Mn |
| Jun 30, 2026 | 122.60 Mn |
| Mar 31, 2026 | 110.15 Mn |
| Dec 31, 2025 | 119.04 Mn |
| Sep 30, 2025 | 118.70 Mn |
| Jun 30, 2025 | 118.76 Mn |
| Mar 31, 2025 | 118.09 Mn |
| Dec 31, 2024 | 120.68 Mn |
| Sep 30, 2024 | 122.32 Mn |
| Jun 30, 2024 | 124.77 Mn |
| Mar 31, 2024 | 124.52 Mn |
| Dec 31, 2023 | 128.68 Mn |
| Sep 30, 2023 | 119.55 Mn |
| Jun 30, 2023 | 126.77 Mn |
| Mar 31, 2023 | 132.13 Mn |
| Dec 31, 2022 | 129.97 Mn |
| Sep 30, 2022 | 123.13 Mn |
| Jun 30, 2022 | 113.73 Mn |
| Mar 31, 2022 | 101.81 Mn |
| Dec 31, 2021 | 58.91 Mn |
API Access
DMC Global Cost of Revenue 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=cost-of-revenue&ticker=BOOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BOOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();