Roman DBDR Acquisition (DRDB) Operating Expenses (2024 - 2026)
Roman DBDR Acquisition's Operating Expenses came in at $437,531 for Q2 2026, up 10.8% from $394,725 a year earlier but down 76.8% from the prior quarter.
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Analysis
Roman DBDR Acquisition (DRDB) Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Roman DBDR Acquisition reported Operating Expenses of $3.84 million; for FY2025, it was $2.25 million, up 988.6% from FY2024.
- Going back by year, Operating Expenses was $206,935 in FY2024.
- The five-year range for quarterly Operating Expenses is $341,380 (Q1 2025) to $1.89 million (Q1 2026).
- Business Quant data shows DRDB's Operating Expenses at $1.89 million (Q1 2026), $1 million (Q4 2025) and $513,304 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 595.90 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 3.49 Bn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 1.36 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 739.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 749.00 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | 2.62 Bn |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 249.40 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 418.00 Mn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 1.49 Bn |
| 10 | Roman DBDR Acquisition | 330.28 Mn | 329.65 Mn | - | 437,531.00 |
Historic Data
Download Data
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 |
| Sep 30, 2024 | 90,741.00 |
API Access
Roman DBDR 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=DRDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DRDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();