SoFi Technologies (SOFI) Provision for Credit Losses (2021 - 2026)
SoFi Technologies' Provision for Credit Losses came in at $14.74 million for Q3 2026, up 60.2% from $9.2 million a year earlier and up 7.1% from the prior quarter.
SoFi Technologies (SOFI) Provision for Credit Losses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, SoFi Technologies reported Provision for Credit Losses of $42.8 million, up 34.6% year-over-year; for FY2025, it came in at $30.32 million, down 4.4% from FY2024.
- Provision for Credit Losses carries a four-year compound annual growth rate of 41.5% (FY2021 to FY2025).
- Going back by year, Provision for Credit 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 Q3 2026 figure represents the highest quarterly Provision for Credit Losses since Q3 2023.
- Year-over-year, Provision for Credit Losses has increased for three consecutive quarters, with growth averaging 13.5% over the last eight quarters.
- The fastest year-over-year change in Provision for Credit Losses over five years came in Q3 2022 (growth of 579.8%), and the weakest in Q3 2024 (a decline of 72.5%).
- Business Quant data shows SOFI's Provision for Credit Losses at $13.76 million (Q2 2026), $8.9 million (Q1 2026) and $5.41 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.24 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 103.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | SoFi Technologies | 20.95 Bn | 6.68 Bn | 1.18 Bn | 14.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.74 Mn |
| 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 |
SoFi Technologies Provision for Credit 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-credit-losses&ticker=SOFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-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-credit-losses&ticker=SOFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();