Circle Internet (CRCL) Accumulated Expenses (2024 - 2026)
Circle Internet's Accumulated Expenses came in at $105.22 million for Q3 2026, up 19.7% from $87.9 million a year earlier but down 9.5% from the prior quarter.
Circle Internet (CRCL) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Circle Internet's Accumulated Expenses was $114.27 million, up 62.5% from FY2024.
- Going back by year, Accumulated Expenses was $70.31 million in FY2024.
- The five-year range for quarterly Accumulated Expenses is $66.83 million (Q2 2025) to $116.21 million (Q2 2026).
- Business Quant data shows CRCL's Accumulated Expenses at $116.21 million (Q2 2026), $71.55 million (Q1 2026) and $114.27 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - |
| 10 | Circle Internet | 15.74 Bn | 9.27 Bn | 453.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 105.22 Mn |
| Jun 30, 2026 | 116.21 Mn |
| Mar 31, 2026 | 71.55 Mn |
| Dec 31, 2025 | 114.27 Mn |
| Sep 30, 2025 | 87.90 Mn |
| Jun 30, 2025 | 66.83 Mn |
| Dec 31, 2024 | 70.31 Mn |
Circle Internet Accumulated 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=accumulated-expenses&ticker=CRCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CRCL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CRCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();