SoFi Technologies (SOFI) Interest Expenses (2020 - 2026)
SoFi Technologies (SOFI) recorded Interest Expenses of $352.33 million in Q2 2026, up 28.3% from $274.57 million a year earlier and up 14.4% from the prior quarter.
SoFi Technologies (SOFI) Interest Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, SoFi Technologies' Interest Expenses came in at $1.28 billion as of Jun 30, 2026, up 15.5% year-over-year; for FY2025, it was $1.16 billion, up 5.9% from FY2024.
- Annual Interest Expenses has increased for four straight years, with a five-year compound annual growth rate of 44.2% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $1.09 billion in FY2024 (+38.3%), $789.33 million in FY2023 (+317.0%), $189.28 million in FY2022 (+84.2%) and $102.78 million in FY2021 (-44.6%).
- The Q2 2026 figure is the highest quarterly Interest Expenses in data going back to Q2 2020.
- On a year-over-year basis, Interest Expenses has increased for 16 consecutive quarters, with growth averaging 13.6% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 567.8% in Q2 2023, against a decline of 65.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $308.01 million (Q1 2026), $310.14 million (Q4 2025) and $306.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 10.97 Bn |
| 10 | SoFi Technologies | 20.39 Bn | 5.68 Bn | 1.02 Bn | 352.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 352.33 Mn |
| Mar 31, 2026 | 308.01 Mn |
| Dec 31, 2025 | 310.14 Mn |
| Sep 30, 2025 | 306.45 Mn |
| Jun 30, 2025 | 274.57 Mn |
| Mar 31, 2025 | 265.09 Mn |
| Dec 31, 2024 | 273.77 Mn |
| Sep 30, 2024 | 292.36 Mn |
| Jun 30, 2024 | 262.01 Mn |
| Mar 31, 2024 | 263.19 Mn |
| Dec 31, 2023 | 255.60 Mn |
| Sep 30, 2023 | 219.31 Mn |
| Jun 30, 2023 | 178.87 Mn |
| Mar 31, 2023 | 135.55 Mn |
| Dec 31, 2022 | 98.82 Mn |
| Sep 30, 2022 | 40.19 Mn |
| Jun 30, 2022 | 26.78 Mn |
| Mar 31, 2022 | 23.48 Mn |
| Dec 31, 2021 | 18.21 Mn |
| Sep 30, 2021 | 21.23 Mn |
SoFi Technologies Interest 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=interest-expenses&ticker=SOFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SOFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();