PayPay (PAYP) Operating Expenses (2025 - 2026)
PayPay's Operating Expenses was -$501.43 million in the quarter ended Jun 30, 2026, compared with -$485.09 million a year earlier.
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Analysis
PayPay (PAYP) Operating Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, PayPay's Operating Expenses was -$1.98 billion through Jun 30, 2026; for the year ended Mar 31, 2026, it came in at -$2 billion.
- In earlier years, Operating Expenses was -$1.73 billion in the year ended Mar 31, 2025 and -$1.77 billion in the year ended Mar 31, 2024.
- Quarterly Operating Expenses has moved between -$529.96 million (the quarter ended Mar 31, 2026) and -$467.38 million (the quarter ended Mar 31, 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | PayPay | 10.83 Bn | 11.06 Bn | - | -501.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -501.43 Mn |
| Mar 31, 2026 | -529.96 Mn |
| Jun 30, 2025 | -485.09 Mn |
| Mar 31, 2025 | -467.38 Mn |
API Access
PayPay 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=PAYP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PAYP", "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=PAYP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();