Fold Holdings (FLD) Accumulated Expenses (2024 - 2026)
Fold Holdings' Accumulated Expenses was $1.99 million in Q2 2026, up 3.6% from $1.92 million a year earlier but down 23.7% from the prior quarter.
Powered by 
Analysis
Fold Holdings (FLD) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Fold Holdings came in at $3.17 million.
- In earlier years, Accumulated Expenses was $71,858 in FY2024.
- Quarterly Accumulated Expenses has moved between $71,858 (Q4 2024) and $3.17 million (Q4 2025) over five years.
- Per Business Quant data, FLD's Accumulated Expenses in the three quarters before Q2 2026 was $2.61 million (Q1 2026), $3.17 million (Q4 2025) and $2.22 million (Q3 2025).
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 | Fold Holdings | 25.19 Mn | -29.09 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.99 Mn |
| Mar 31, 2026 | 2.61 Mn |
| Dec 31, 2025 | 3.17 Mn |
| Sep 30, 2025 | 2.22 Mn |
| Jun 30, 2025 | 1.92 Mn |
| Mar 31, 2025 | 1.90 Mn |
| Dec 31, 2024 | 71,858.00 |
API Access
Fold Holdings 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=FLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FLD", "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=FLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();