Synchrony Financial (SYF) Total Liabilities (2013 - 2026)
Synchrony Financial's Total Liabilities was $105.92 billion in Q3 2026, up 6.0% from $99.92 billion a year earlier and up 0.8% from the prior quarter.
Synchrony Financial (SYF) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Synchrony Financial came in at $102.33 billion, down 0.5% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $102.88 billion in FY2024 (-0.7%), $103.58 billion in FY2023 (+13.0%), $91.69 billion in FY2022 (+11.7%) and $82.09 billion in FY2021 (-1.4%).
- The Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2013.
- Compared with a year earlier, Total Liabilities was higher in two of the last eight quarters, with growth averaging 0.1%.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2023 (growth of 16.5%); the worst was Q3 2025 (a decline of 3.2%).
- Per Business Quant data, SYF's Total Liabilities in the three quarters before Q3 2026 was $105.03 billion (Q2 2026), $105.02 billion (Q1 2026) and $102.33 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 40.99 Bn | 9.71 Bn | 12.74 Bn | 83.16 Bn |
| 2 | Rocket Companies | 35.89 Bn | 35.89 Bn | - | 35.84 Bn |
| 3 | Royalty Pharma | 29.95 Bn | 26.91 Bn | - | 10.03 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | 4,198.25 Bn |
| 5 | Affirm Holdings | 24.55 Bn | 18.24 Bn | - | 10.31 Bn |
| 6 | Synchrony Financial | 24.01 Bn | -43.61 Bn | - | 105.92 Bn |
| 7 | Royal Gold | 19.26 Bn | 18.43 Bn | 390.45 Mn | 1.82 Bn |
| 8 | Annaly Capital Management | 13.94 Bn | 4.90 Bn | - | 130.25 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.46 Bn | - | 16.65 Bn |
| 10 | Federal Home Loan Mortgage | 13.42 Bn | 13.42 Bn | - | 3,451.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 105.92 Bn |
| Jun 30, 2026 | 105.03 Bn |
| Mar 31, 2026 | 105.02 Bn |
| Dec 31, 2025 | 102.33 Bn |
| Sep 30, 2025 | 99.92 Bn |
| Jun 30, 2025 | 103.55 Bn |
| Mar 31, 2025 | 105.45 Bn |
| Dec 31, 2024 | 102.88 Bn |
| Sep 30, 2024 | 103.25 Bn |
| Jun 30, 2024 | 104.95 Bn |
| Mar 31, 2024 | 105.89 Bn |
| Dec 31, 2023 | 103.58 Bn |
| Sep 30, 2023 | 99.17 Bn |
| Jun 30, 2023 | 95.32 Bn |
| Mar 31, 2023 | 94.66 Bn |
| Dec 31, 2022 | 91.69 Bn |
| Sep 30, 2022 | 87.75 Bn |
| Jun 30, 2022 | 81.81 Bn |
| Mar 31, 2022 | 81.85 Bn |
| Dec 31, 2021 | 82.09 Bn |
Synchrony Financial Total Liabilities 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=total-liabilities&ticker=SYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SYF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=SYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();