SoFi Technologies (SOFI) Other Operating Expenses (2020 - 2026)
SoFi Technologies' Other Operating Expenses was $592.54 million in Q2 2026, up 42.7% from $415.18 million a year earlier and up 16.9% from the prior quarter.
SoFi Technologies (SOFI) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, SoFi Technologies' Other Operating Expenses was $2.01 billion through Jun 30, 2026, up 35.7% year-over-year; for FY2025, it came in at $1.7 billion, up 35.5% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 30.2% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $1.26 billion in FY2024 (-6.6%), $1.35 billion in FY2023 (+44.6%), $931.05 million in FY2022 (+34.7%) and $691.43 million in FY2021 (+51.8%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q2 2020.
- Compared with a year earlier, Other Operating Expenses has increased for seven straight quarters, with growth averaging 29.4% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2023 (growth of 111.8%); the worst was Q3 2024 (a decline of 38.9%).
- Per Business Quant data, SOFI's Other Operating Expenses in the three quarters before Q2 2026 was $506.66 million (Q1 2026), $467.23 million (Q4 2025) and $448.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - |
| 10 | SoFi Technologies | 20.39 Bn | 5.68 Bn | 1.02 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 592.54 Mn |
| Mar 31, 2026 | 506.66 Mn |
| Dec 31, 2025 | 467.23 Mn |
| Sep 30, 2025 | 448.30 Mn |
| Jun 30, 2025 | 415.18 Mn |
| Mar 31, 2025 | 373.70 Mn |
| Dec 31, 2024 | 357.42 Mn |
| Sep 30, 2024 | 338.62 Mn |
| Jun 30, 2024 | 294.47 Mn |
| Mar 31, 2024 | 267.43 Mn |
| Dec 31, 2023 | 235.80 Mn |
| Sep 30, 2023 | 553.98 Mn |
| Jun 30, 2023 | 289.32 Mn |
| Mar 31, 2023 | 267.47 Mn |
| Dec 31, 2022 | 214.93 Mn |
| Sep 30, 2022 | 261.54 Mn |
| Jun 30, 2022 | 233.05 Mn |
| Mar 31, 2022 | 221.54 Mn |
| Dec 31, 2021 | 203.59 Mn |
| Sep 30, 2021 | 186.98 Mn |
SoFi Technologies 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=SOFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=SOFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();