SoFi Technologies (SOFI) Provision for Losses (2021 - 2026)
SoFi Technologies (SOFI) posted Provision for Losses of $13.76 million for Q2 2026, up 37.1% from $10.04 million a year earlier and up 54.6% from the prior quarter.
SoFi Technologies (SOFI) Provision for Losses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at SoFi Technologies was $37.26 million, up 30.3% year-over-year; for FY2025, it came in at $30.32 million, down 4.4% from FY2024.
- Annual Provision for Losses shows a four-year compound annual growth rate of 41.5% (FY2021 to FY2025).
- In prior years, SoFi Technologies' Provision for Losses was $31.71 million in FY2024 (-42.3%), $54.95 million in FY2023 (+1.1%), $54.33 million in FY2022 (+617.4%) and $7.57 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Provision for Losses since Q3 2023.
- On a year-over-year basis, Provision for Losses increased in three of the last eight quarters, with an average decline of 3.1%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q3 2022, with growth of 579.8%; the weakest was Q3 2024, with a decline of 72.5%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $8.9 million (Q1 2026), $5.41 million (Q4 2025) and $9.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 1.40 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 717.20 Mn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | - |
| 10 | SoFi Technologies | 21.51 Bn | 21.51 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.76 Mn |
| Mar 31, 2026 | 8.90 Mn |
| Dec 31, 2025 | 5.41 Mn |
| Sep 30, 2025 | 9.20 Mn |
| Jun 30, 2025 | 10.04 Mn |
| Mar 31, 2025 | 5.68 Mn |
| Dec 31, 2024 | 6.88 Mn |
| Sep 30, 2024 | 6.01 Mn |
| Jun 30, 2024 | 11.64 Mn |
| Mar 31, 2024 | 7.18 Mn |
| Dec 31, 2023 | 12.09 Mn |
| Sep 30, 2023 | 21.83 Mn |
| Jun 30, 2023 | 12.62 Mn |
| Mar 31, 2023 | 8.41 Mn |
| Dec 31, 2022 | 14.95 Mn |
| Sep 30, 2022 | 16.32 Mn |
| Jun 30, 2022 | 10.10 Mn |
| Mar 31, 2022 | 12.96 Mn |
| Dec 31, 2021 | 4.69 Mn |
| Sep 30, 2021 | 2.40 Mn |
SoFi Technologies Provision for Losses 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=provision-for-losses&ticker=SOFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "SOFI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=SOFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();