SoFi Technologies (SOFI) Non-Current Debt (2020 - 2026)
SoFi Technologies (SOFI) recorded Non-Current Debt of $520.79 million in Q2 2023, compared with -$1.13 billion a year earlier and up 17.3% from the prior quarter.
SoFi Technologies (SOFI) Non-Current Debt (2020 - 2026) Analysis & Trends
On a TTM basis, SoFi Technologies' Non-Current Debt came in at $889.45 million as of Jun 30, 2023.
- The Q2 2023 figure is the highest quarterly Non-Current Debt since Q1 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 7.55 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | 427.98 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 14.62 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 29.82 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 9.74 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 107.79 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 347.96 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | -685.00 Mn |
| 10 | SoFi Technologies | 20.39 Bn | 5.68 Bn | 1.02 Bn | 1.49 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.49 Bn |
| Mar 31, 2026 | -3.20 Mn |
| Dec 31, 2025 | -901.52 Mn |
| Sep 30, 2025 | -1.23 Bn |
| Jun 30, 2025 | 894.79 Mn |
| Mar 31, 2025 | -48.94 Mn |
| Dec 31, 2024 | -88.45 Mn |
| Sep 30, 2024 | 143.40 Mn |
| Jun 30, 2024 | 207.40 Mn |
| Mar 31, 2024 | -2.60 Bn |
| Dec 31, 2023 | -767.41 Mn |
| Sep 30, 2023 | -249.64 Mn |
| Jun 30, 2023 | 261.06 Mn |
| Mar 31, 2023 | 296.12 Mn |
| Dec 31, 2022 | 347.15 Mn |
| Sep 30, 2022 | 755.47 Mn |
| Jun 30, 2022 | -88.24 Mn |
| Mar 31, 2022 | -112.28 Mn |
| Dec 31, 2021 | 2.08 Bn |
| Sep 30, 2021 | 434.01 Mn |
SoFi Technologies Non-Current Debt 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=non-current-debt&ticker=SOFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=SOFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();