Fold Holdings (FLD) Non Operating Interest Expenses (2024 - 2026)
Fold Holdings (FLD) posted Non Operating Interest Expenses of $921,881 for Q2 2026, down 53.3% from $1.97 million a year earlier and down 59.5% from the prior quarter.
Fold Holdings (FLD) Non Operating Interest Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Fold Holdings was $5.66 million, up 62.5% year-over-year; for FY2025, it was $5.71 million.
- In prior years, Fold Holdings' Non Operating Interest Expenses was $234,035 in FY2024.
- The Q2 2026 figure stands as the lowest quarterly Non Operating Interest Expenses since Q4 2024.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $2.27 million (Q1 2026), $1.28 million (Q4 2025) and $1.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.61 Bn | 94.70 Bn | - | 43.60 Mn |
| 2 | Robinhood Markets | 91.70 Bn | 72.73 Bn | - | - |
| 3 | Intercontinental Exchange | 88.95 Bn | 82.69 Bn | - | 205.00 Mn |
| 4 | Nasdaq | 54.22 Bn | 51.65 Bn | 1.50 Bn | 86.00 Mn |
| 5 | Interactive Brokers | 38.25 Bn | 15.37 Bn | - | - |
| 6 | Cboe Global Markets | 33.42 Bn | 25.08 Bn | 731.60 Mn | 13.20 Mn |
| 7 | LPL Financial Holdings | 25.64 Bn | 20.96 Bn | - | 101.50 Mn |
| 8 | Tradeweb Markets | 25.45 Bn | 17.47 Bn | - | 505,000.00 |
| 9 | Circle Internet | 22.26 Bn | 16.14 Bn | 288.85 Mn | - |
| 10 | Fold Holdings | 27.07 Mn | -27.21 Mn | - | 921,881.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 921,881.00 |
| Mar 31, 2026 | 2.27 Mn |
| Dec 31, 2025 | 1.28 Mn |
| Sep 30, 2025 | 1.18 Mn |
| Jun 30, 2025 | 1.97 Mn |
| Mar 31, 2025 | 1.27 Mn |
| Dec 31, 2024 | 234,035.00 |
Fold Holdings Non Operating Interest 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=non-operating-interest-expenses&ticker=FLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=FLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();