Drugs Made In America Acquisition (DMAA) Operating Expenses (2025 - 2026)
Drugs Made In America Acquisition's Operating Expenses was $136,934 in Q2 2026, up 3.8% from $131,919 a year earlier.
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Analysis
Drugs Made In America Acquisition (DMAA) Operating Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Drugs Made In America Acquisition's Operating Expenses was $2.62 million through Jun 30, 2026; for FY2025, it was $2.82 million, up 906.3% from FY2024.
- In earlier years, Operating Expenses was $279,845 in FY2024.
- Quarterly Operating Expenses has moved between $131,919 (Q2 2025) and $2.09 million (Q4 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | 149.76 Mn |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 2.38 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 14.94 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Drugs Made In America Acquisition | 335.55 Mn | 335.55 Mn | - | 136,934.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136,934.00 |
| Dec 31, 2025 | 2.09 Mn |
| Sep 30, 2025 | 263,703.00 |
| Jun 30, 2025 | 131,919.00 |
| Mar 31, 2025 | 330,925.00 |
API Access
Drugs Made In America Acquisition 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=DMAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DMAA", "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=DMAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();