Fold Holdings (FLD) Operating Expenses (2022 - 2026)
Fold Holdings (FLD) reported Operating Expenses of $13.86 million for Q2 2026, down 4.4% from $14.5 million a year earlier but up 3.2% from the prior quarter.
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Analysis
Fold Holdings (FLD) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fold Holdings' Operating Expenses came in at $55.72 million, up 14.8% year-over-year; for FY2025, it came in at $59.52 million, up 101.3% from FY2024.
- Operating Expenses has increased for three consecutive years, with a four-year compound annual growth rate of 393.3% (FY2021 to FY2025).
- By year, Operating Expenses came in at $29.57 million in FY2024 (+692.6%), $3.73 million in FY2023 (+109.9%), $1.78 million in FY2022 and $100,518 in FY2021.
- Five-year quarterly Operating Expenses spans a low of $383,532 in Q2 2022 and a high of $16.59 million in Q1 2025.
- Year over year, Operating Expenses gained in five of the last seven quarters, with growth averaging 123.6%.
- The high point for year-over-year Operating Expenses in five years was Q2 2024 (growth of 811.0%); the low point was Q1 2026 (a decline of 19.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.42 million (Q1 2026), $15.1 million (Q4 2025) and $13.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.76 Bn | 94.86 Bn | - | 599.10 Mn |
| 2 | Robinhood Markets | 91.10 Bn | 72.14 Bn | - | 734.00 Mn |
| 3 | Intercontinental Exchange | 89.00 Bn | 82.74 Bn | - | 1.28 Bn |
| 4 | Nasdaq | 53.91 Bn | 51.33 Bn | 1.50 Bn | 788.00 Mn |
| 5 | Interactive Brokers | 38.19 Bn | 15.31 Bn | - | 440.00 Mn |
| 6 | Cboe Global Markets | 33.28 Bn | 24.93 Bn | 731.60 Mn | 255.60 Mn |
| 7 | LPL Financial Holdings | 25.57 Bn | 20.89 Bn | - | 4.67 Bn |
| 8 | Tradeweb Markets | 25.40 Bn | 17.41 Bn | - | 313.68 Mn |
| 9 | Circle Internet | 22.43 Bn | 16.31 Bn | 288.85 Mn | 254.49 Mn |
| 10 | Fold Holdings | 27.47 Mn | -26.81 Mn | - | 13.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.86 Mn |
| Mar 31, 2026 | 13.42 Mn |
| Dec 31, 2025 | 15.10 Mn |
| Sep 30, 2025 | 13.34 Mn |
| Jun 30, 2025 | 14.50 Mn |
| Mar 31, 2025 | 16.59 Mn |
| Dec 31, 2024 | 8.04 Mn |
| Sep 30, 2024 | 9.41 Mn |
| Jun 30, 2024 | 6.33 Mn |
| Mar 31, 2024 | 5.79 Mn |
| Dec 31, 2023 | 1.48 Mn |
| Sep 30, 2023 | 683,551.00 |
| Jun 30, 2023 | 694,546.00 |
| Mar 31, 2023 | 872,897.00 |
| Dec 31, 2022 | 458,073.00 |
| Sep 30, 2022 | 445,778.00 |
| Jun 30, 2022 | 383,532.00 |
| Mar 31, 2022 | 489,504.00 |
API Access
Fold Holdings 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=FLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=FLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();