PayPay (PAYP) Depreciation & Amortization (CF) (2025 - 2026)
PayPay (PAYP) posted Depreciation & Amortization (CF) of $41.71 million for the quarter ended Jun 30, 2026, down 1.3% from $42.26 million a year earlier but up 5.4% from the prior quarter.
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Analysis
PayPay (PAYP) Depreciation & Amortization (CF) (2025 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at PayPay was $160.31 million; for the year ended Mar 31, 2026, it was $169.28 million, up 20.5% from the prior year.
- In prior years, PayPay's Depreciation & Amortization (CF) was $140.43 million in the year ended Mar 31, 2025 (+8.9%) and $128.91 million in the year ended Mar 31, 2024.
- Quarterly Depreciation & Amortization (CF) has run from a low of $36.75 million in the quarter ended Mar 31, 2025 to a high of $42.26 million in the quarter ended Jun 30, 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 612.00 Mn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1.20 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 243.13 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 509.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 1.88 Bn |
| 10 | PayPay | 10.83 Bn | 11.06 Bn | - | 41.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.71 Mn |
| Mar 31, 2026 | 39.59 Mn |
| Jun 30, 2025 | 42.26 Mn |
| Mar 31, 2025 | 36.75 Mn |
API Access
PayPay Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=PAYP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=PAYP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();