Bgc (BGC) Operating Expenses (2010 - 2026)
Bgc (BGC) posted Operating Expenses of $773.64 million for Q2 2026, up 8.7% from $711.69 million a year earlier but down 8.7% from the prior quarter.
Bgc (BGC) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Bgc was $3.14 billion, up 29.1% year-over-year; for FY2025, it came in at $2.82 billion, up 29.1% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Bgc's Operating Expenses was $2.18 billion in FY2024 (+9.5%), $1.99 billion in FY2023 (+16.1%), $1.72 billion in FY2022 (-21.2%) and $2.18 billion in FY2021 (+9.4%).
- Quarterly Operating Expenses has run from a low of $406.12 million in Q3 2022 to a high of $846.98 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 25.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2026, with growth of 44.4%; the weakest was Q4 2022, with a decline of 35.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $846.98 million (Q1 2026), $813.36 million (Q4 2025) and $705.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 599.10 Mn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 1.28 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 734.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 788.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 440.00 Mn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 255.60 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 4.67 Bn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 313.68 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 254.49 Mn |
| 10 | Bgc | 5.52 Bn | 2.35 Bn | - | 773.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 773.64 Mn |
| Mar 31, 2026 | 846.98 Mn |
| Dec 31, 2025 | 813.36 Mn |
| Sep 30, 2025 | 705.61 Mn |
| Jun 30, 2025 | 711.69 Mn |
| Mar 31, 2025 | 586.52 Mn |
| Dec 31, 2024 | 586.00 Mn |
| Sep 30, 2024 | 548.04 Mn |
| Jun 30, 2024 | 500.16 Mn |
| Mar 31, 2024 | 548.07 Mn |
| Dec 31, 2023 | 502.22 Mn |
| Sep 30, 2023 | 464.89 Mn |
| Jun 30, 2023 | 525.76 Mn |
| Mar 31, 2023 | 499.96 Mn |
| Dec 31, 2022 | 438.64 Mn |
| Sep 30, 2022 | 406.12 Mn |
| Jun 30, 2022 | 408.95 Mn |
| Mar 31, 2022 | 463.41 Mn |
| Dec 31, 2021 | 679.75 Mn |
| Sep 30, 2021 | 500.80 Mn |
Bgc 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=BGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BGC", "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=BGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();