DMC Global (BOOM) Cash & Equivalents (2010 - 2026)
DMC Global (BOOM) reported Cash & Equivalents of $28.55 million for Q2 2026, up 129.7% from $12.43 million a year earlier but down 9.4% from the prior quarter.
DMC Global (BOOM) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, DMC Global posted Cash & Equivalents of $31.9 million, up 123.2% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $14.29 million in FY2024 (-54.0%), $31.04 million in FY2023 (+23.4%), $25.14 million in FY2022 (-18.4%) and $30.81 million in FY2021 (+9.3%).
- Five-year quarterly Cash & Equivalents spans a low of $11.82 million in Q2 2022 and a high of $37.02 million in Q3 2021.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 38.0% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2026 (growth of 129.7%); the low point was Q2 2022 (a decline of 67.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $31.51 million (Q1 2026), $31.9 million (Q4 2025) and $26.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 665.30 Mn |
| 10 | DMC Global | 119.14 Mn | 187.85 Mn | 34.36 Mn | 28.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.55 Mn |
| Mar 31, 2026 | 31.51 Mn |
| Dec 31, 2025 | 31.90 Mn |
| Sep 30, 2025 | 26.41 Mn |
| Jun 30, 2025 | 12.43 Mn |
| Mar 31, 2025 | 14.71 Mn |
| Dec 31, 2024 | 14.29 Mn |
| Sep 30, 2024 | 14.51 Mn |
| Jun 30, 2024 | 14.57 Mn |
| Mar 31, 2024 | 20.44 Mn |
| Dec 31, 2023 | 31.04 Mn |
| Sep 30, 2023 | 28.06 Mn |
| Jun 30, 2023 | 18.72 Mn |
| Mar 31, 2023 | 19.65 Mn |
| Dec 31, 2022 | 25.14 Mn |
| Sep 30, 2022 | 18.49 Mn |
| Jun 30, 2022 | 11.82 Mn |
| Mar 31, 2022 | 15.38 Mn |
| Dec 31, 2021 | 30.81 Mn |
| Sep 30, 2021 | 37.02 Mn |
DMC Global Cash & Equivalents 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=cash-and-equivalents&ticker=BOOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BOOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();