Drugs Made In America Acquisition (DMAA) Selling, General & Administrative (2025 - 2026)
Drugs Made In America Acquisition's Selling, General & Administrative came in at $136,934 for Q2 2026, up 3.8% from $131,919 a year earlier.
Drugs Made In America Acquisition (DMAA) Selling, General & Administrative (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Drugs Made In America Acquisition reported Selling, General & Administrative of $2.62 million; for FY2025, it came in at $2.82 million, up 906.3% from FY2024.
- Going back by year, Selling, General & Administrative was $279,845 in FY2024.
- The five-year range for quarterly Selling, General & Administrative is $131,919 (Q2 2025) to $2.09 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 165.40 Bn | 111.76 Bn | - | 720.00 Mn |
| 2 | Spdr Gold Trust | 133.61 Bn | -424.39 Bn | - | - |
| 3 | Blackstone | 84.03 Bn | 78.95 Bn | - | 409.11 Mn |
| 4 | Brookfield | 82.79 Bn | -82.59 Bn | 4.47 Bn | - |
| 5 | Kkr | 80.75 Bn | 47.23 Bn | - | - |
| 6 | Brookfield Asset Management | 71.44 Bn | 67.69 Bn | - | 25.00 Mn |
| 7 | Apollo Global Management | 66.43 Bn | 4.11 Bn | 10.56 Bn | 479.00 Mn |
| 8 | Wheaton Precious Metals | 61.87 Bn | 57.29 Bn | 687.86 Mn | 11.33 Mn |
| 9 | Franco Nevada | 46.42 Bn | 43.78 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Drugs Made In America Acquisition | 335.55 Mn | 335.55 Mn | - | 136,934.00 |
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 |
Drugs Made In America Acquisition Selling, General & Administrative 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=selling-general-and-administrative&ticker=DMAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DMAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();