X Financial (XYF) Operating Expenses (2017 - 2026)
X Financial's Operating Expenses was $117.7 million in Q2 2026, down 47.2% from $223.08 million a year earlier and down 21.6% from the prior quarter.
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Analysis
X Financial (XYF) Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, X Financial's Operating Expenses was $699.45 million through Jun 30, 2026, down 3.7% year-over-year; for FY2025, it was $859.33 million, up 56.9% from FY2024.
- Operating Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $547.73 million in FY2024 (+15.1%), $475.67 million in FY2023 (+32.3%), $359.66 million in FY2022 (-1.0%) and $363.34 million in FY2021 (-34.6%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q1 2024.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 23.4%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 332.8%); the worst was Q4 2021 (a decline of 77.3%).
- Per Business Quant data, XYF's Operating Expenses in the three quarters before Q2 2026 was $150.11 million (Q1 2026), $207.01 million (Q4 2025) and $224.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.23 Bn | 8.45 Bn | - | 7.26 Bn |
| 2 | Block | 46.85 Bn | 18.15 Bn | 3.17 Bn | 2.72 Bn |
| 3 | Coinbase Global | 46.71 Bn | 3.52 Bn | - | 1.33 Bn |
| 4 | Corpay | 26.70 Bn | 16.59 Bn | - | 260.40 Mn |
| 5 | Fiserv | 25.72 Bn | 22.40 Bn | 2.90 Bn | 4.28 Bn |
| 6 | Global Payments | 22.62 Bn | 412.61 Mn | 2.03 Bn | 2.98 Bn |
| 7 | Guidewire Software | 15.37 Bn | 11.94 Bn | 269.68 Mn | 207.36 Mn |
| 8 | Bitmine Immersion Technologies | 13.22 Bn | 10.60 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Chime Financial | 11.55 Bn | 7.34 Bn | 594.87 Mn | 573.55 Mn |
| 10 | X Financial | 195.59 Mn | -1.29 Bn | 84.09 Mn | 117.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.70 Mn |
| Mar 31, 2026 | 150.11 Mn |
| Dec 31, 2025 | 207.01 Mn |
| Sep 30, 2025 | 224.61 Mn |
| Jun 30, 2025 | 223.08 Mn |
| Mar 31, 2025 | 188.05 Mn |
| Dec 31, 2024 | 162.14 Mn |
| Sep 30, 2024 | 152.98 Mn |
| Jun 30, 2024 | 125.16 Mn |
| Mar 31, 2024 | 115.15 Mn |
| Dec 31, 2023 | 132.18 Mn |
| Sep 30, 2023 | 131.87 Mn |
| Jun 30, 2023 | 106.98 Mn |
| Mar 31, 2023 | 102.06 Mn |
| Dec 31, 2022 | 98.84 Mn |
| Sep 30, 2022 | 83.53 Mn |
| Jun 30, 2022 | 94.13 Mn |
| Mar 31, 2022 | 90.59 Mn |
| Dec 31, 2021 | 22.84 Mn |
| Sep 30, 2021 | 43.44 Mn |
API Access
X Financial 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=XYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XYF", "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=XYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();