BNB Standard (BNC) Accumulated Expenses (2010 - 2026)
BNB Standard's Accumulated Expenses came in at $1.4 million for FY2025 (year ended Apr 30, 2025).
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Analysis
BNB Standard (BNC) Accumulated Expenses (2010 - 2026) Analysis & Trends
Going back to FY2010, BNB Standard's Accumulated Expenses data covers 9 fiscal years.
- Accumulated Expenses carries a three-year compound annual growth rate of 149.7% (FY2022 to FY2025).
- The FY2025 figure represents the highest annual Accumulated Expenses in data going back to FY2010.
- Per Business Quant, earlier fiscal years put Accumulated Expenses at $32,374 in FY2023 (-64.0%) and $89,970 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 108.60 Bn | 96.94 Bn | - |
| 2 | Bank of New York Mellon | 103.36 Bn | 36.98 Bn | - |
| 3 | Intercontinental Exchange | 97.74 Bn | 90.63 Bn | - |
| 4 | Robinhood Markets | 76.13 Bn | 55.67 Bn | - |
| 5 | Nasdaq | 60.59 Bn | 58.02 Bn | 1.48 Bn |
| 6 | State Street | 47.13 Bn | 47.13 Bn | - |
| 7 | Cboe Global Markets | 36.84 Bn | 27.32 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.29 Bn | 11.60 Bn | - |
| 9 | Northern Trust | 32.36 Bn | 32.36 Bn | - |
| 10 | BNB Standard | 255.58 Mn | 201.57 Mn | 1.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.70 Mn |
| Dec 31, 2023 | 32,374.00 |
| Dec 31, 2022 | 89,970.00 |
| Jun 30, 2017 | 31,000.00 |
| Dec 31, 2016 | 161,031.00 |
| Sep 30, 2016 | 469,337.00 |
| Jun 30, 2016 | 396,854.00 |
| Mar 31, 2016 | 345,387.00 |
| Dec 31, 2015 | 201,257.00 |
| Sep 30, 2014 | 41,517.00 |
| Mar 31, 2014 | 16,860.00 |
| Dec 31, 2013 | 70,338.00 |
| Jun 30, 2013 | 69,435.00 |
| Mar 31, 2013 | 80,893.00 |
| Dec 31, 2012 | 83,509.00 |
| Sep 30, 2012 | 74,202.00 |
| Jun 30, 2012 | 50,900.00 |
| Mar 31, 2012 | 24,928.00 |
| Nov 30, 2011 | 24,924.00 |
| Nov 30, 2010 | 51.00 |
API Access
BNB Standard 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=BNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BNC", "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=BNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();