Roman DBDR Acquisition (DRDB) Selling, General & Administrative (2025 - 2026)
Roman DBDR Acquisition's Selling, General & Administrative was $437,531 in Q2 2026, up 10.8% from $394,725 a year earlier but down 76.8% from the prior quarter.
Roman DBDR Acquisition (DRDB) Selling, General & Administrative (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Roman DBDR Acquisition's Selling, General & Administrative was $3.84 million through Jun 30, 2026; for FY2025, it came in at $2.25 million, up 988.6% from FY2024.
- In earlier years, Selling, General & Administrative was $206,935 in FY2024.
- Quarterly Selling, General & Administrative has moved between $341,380 (Q1 2025) and $1.89 million (Q1 2026) over five years.
- Per Business Quant data, DRDB's Selling, General & Administrative in the three quarters before Q2 2026 was $1.89 million (Q1 2026), $1 million (Q4 2025) and $513,304 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 199.00 Mn |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | - |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 63.00 Mn |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 23.00 Mn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 68.00 Mn |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | - |
| 10 | Roman DBDR Acquisition | 329.05 Mn | 329.05 Mn | - | 437,531.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 437,531.00 |
| Mar 31, 2026 | 1.89 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 513,304.00 |
| Jun 30, 2025 | 394,725.00 |
| Mar 31, 2025 | 341,380.00 |
Roman DBDR 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=DRDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "DRDB", "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=DRDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();