Ribbon Acquisition (RIBB) Operating Expenses (2025 - 2026)
Ribbon Acquisition's Operating Expenses was $338,611 in Q2 2026, up 39.4% from $242,894 a year earlier and up 335.3% from the prior quarter.
Ribbon Acquisition (RIBB) Operating Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ribbon Acquisition's Operating Expenses was $1.25 million through Jun 30, 2026; for FY2025, it was $1.26 million.
- In earlier years, Operating Expenses was $10,305 in FY2024.
- Quarterly Operating Expenses has moved between $77,786 (Q1 2026) and $463,712 (Q3 2025) over five years.
- Per Business Quant data, RIBB's Operating Expenses in the three quarters before Q2 2026 was $77,786 (Q1 2026), $366,089 (Q4 2025) and $463,712 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 3.44 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 255.60 Mn |
| 10 | Ribbon Acquisition | 41.76 Mn | 41.76 Mn | - | 338,611.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 338,611.00 |
| Mar 31, 2026 | 77,786.00 |
| Dec 31, 2025 | 366,089.00 |
| Sep 30, 2025 | 463,712.00 |
| Jun 30, 2025 | 242,894.00 |
| Mar 31, 2025 | 185,401.00 |
Ribbon 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=RIBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RIBB", "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=RIBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();