PayPay (PAYP) Other Operating Expenses (2025 - 2026)
PayPay (PAYP) reported Other Operating Expenses of $5.51 million for the quarter ended Jun 30, 2026, up 133.3% from $2.36 million a year earlier but down 7.8% from the prior quarter.
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Analysis
PayPay (PAYP) Other Operating Expenses (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, PayPay's Other Operating Expenses came in at $15.03 million; for the year ended Mar 31, 2026, it came in at $19.15 million, up 93.0% from the prior year.
- By year, Other Operating Expenses came in at $9.93 million in the year ended Mar 31, 2025 (-26.9%) and $13.58 million in the year ended Mar 31, 2024.
- Five-year quarterly Other Operating Expenses spans a low of $1.17 million in the quarter ended Mar 31, 2025 and a high of $5.98 million in the quarter ended Mar 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | PayPay | 10.83 Bn | 11.06 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.51 Mn |
| Mar 31, 2026 | 5.98 Mn |
| Jun 30, 2025 | 2.36 Mn |
| Mar 31, 2025 | 1.17 Mn |
API Access
PayPay Other 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=other-operating-expenses&ticker=PAYP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=PAYP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();