Synchrony Financial (SYF) Change in Accrued Expenses (2013 - 2026)
Synchrony Financial (SYF) posted Change in Accrued Expenses of $132 million for Q3 2026, down 12.6% from $151 million a year earlier and down 30.5% from the prior quarter.
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Analysis
Synchrony Financial (SYF) Change in Accrued Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Synchrony Financial was $258 million, up 88.3% year-over-year; for FY2025, it came in at $314 million.
- In prior years, Synchrony Financial's Change in Accrued Expenses was -$121 million in FY2024, $293 million in FY2023, -$93 million in FY2022 and $560 million in FY2021.
- Quarterly Change in Accrued Expenses has run from a low of -$413 million in Q1 2022 to a high of $472 million in Q4 2021 over five years.
- On a year-over-year basis, Change in Accrued Expenses increased in two of the last five quarters, with growth averaging 72.3%.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q4 2025, with growth of 249.3%; the weakest was Q3 2022, with a decline of 77.2%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $190 million (Q2 2026), -$312 million (Q1 2026) and $248 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 44.05 Bn | 29.73 Bn | - | - |
| 2 | Orix | 40.96 Bn | 10.18 Bn | 12.74 Bn | - |
| 3 | Royalty Pharma | 36.72 Bn | 36.63 Bn | - | - |
| 4 | Affirm Holdings | 23.63 Bn | 17.32 Bn | - | -22.78 Mn |
| 5 | Federal National Mortgage Association Fannie Mae | 23.47 Bn | 23.47 Bn | - | - |
| 6 | Synchrony Financial | 22.90 Bn | -44.72 Bn | - | 132.00 Mn |
| 7 | Royal Gold | 19.26 Bn | 18.48 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 13.77 Bn | 4.86 Bn | - | 88.31 Mn |
| 9 | Ares Capital | 13.38 Bn | 10.82 Bn | - | 4.00 Mn |
| 10 | Federal Home Loan Mortgage | 12.16 Bn | -6.58 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 132.00 Mn |
| Jun 30, 2026 | 190.00 Mn |
| Mar 31, 2026 | -312.00 Mn |
| Dec 31, 2025 | 248.00 Mn |
| Sep 30, 2025 | 151.00 Mn |
| Jun 30, 2025 | 238.00 Mn |
| Mar 31, 2025 | -323.00 Mn |
| Dec 31, 2024 | 71.00 Mn |
| Sep 30, 2024 | 47.00 Mn |
| Jun 30, 2024 | -35.00 Mn |
| Mar 31, 2024 | -204.00 Mn |
| Dec 31, 2023 | 300.00 Mn |
| Sep 30, 2023 | 172.00 Mn |
| Jun 30, 2023 | -2.00 Mn |
| Mar 31, 2023 | -177.00 Mn |
| Dec 31, 2022 | 229.00 Mn |
| Sep 30, 2022 | 69.00 Mn |
| Jun 30, 2022 | 22.00 Mn |
| Mar 31, 2022 | -413.00 Mn |
| Dec 31, 2021 | 472.00 Mn |
API Access
Synchrony Financial Change in Accrued 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=change-in-accrued-expenses&ticker=SYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "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=change-in-accrued-expenses&ticker=SYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();