Synchrony Financial (SYF) Professional Fees (2013 - 2026)
Synchrony Financial (SYF) reported Professional Fees of $234 million for Q3 2026, down 2.5% from $240 million a year earlier but up 6.4% from the prior quarter.
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Analysis
Synchrony Financial (SYF) Professional Fees (2013 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Synchrony Financial's Professional Fees came in at $906 million, down 3.8% year-over-year; for FY2025, it was $936 million, unchanged from FY2024.
- Professional Fees has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- By year, Professional Fees came in at $936 million in FY2024 (+11.2%), $842 million in FY2023 (+1.2%), $832 million in FY2022 (+6.4%) and $782 million in FY2021 (+3.0%).
- Five-year quarterly Professional Fees spans a low of $185 million in Q2 2022 and a high of $249 million in Q4 2024.
- Year over year, Professional Fees has now declined in each of the last four quarters, with an average decline of 0.5% over the last eight quarters.
- The high point for year-over-year Professional Fees in five years was Q1 2024 (growth of 18.3%); the low point was Q1 2023 (a decline of 11.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $220 million (Q2 2026), $209 million (Q1 2026) and $243 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | - |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | - |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | 300.00 Mn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 234.00 Mn |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | - |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn | - |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - | -200,000.00 |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | - |
| 10 | Federal Home Loan Mortgage | 12.64 Bn | -328.33 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 234.00 Mn |
| Jun 30, 2026 | 220.00 Mn |
| Mar 31, 2026 | 209.00 Mn |
| Dec 31, 2025 | 243.00 Mn |
| Sep 30, 2025 | 240.00 Mn |
| Jun 30, 2025 | 236.00 Mn |
| Mar 31, 2025 | 217.00 Mn |
| Dec 31, 2024 | 249.00 Mn |
| Sep 30, 2024 | 231.00 Mn |
| Jun 30, 2024 | 236.00 Mn |
| Mar 31, 2024 | 220.00 Mn |
| Dec 31, 2023 | 228.00 Mn |
| Sep 30, 2023 | 219.00 Mn |
| Jun 30, 2023 | 209.00 Mn |
| Mar 31, 2023 | 186.00 Mn |
| Dec 31, 2022 | 233.00 Mn |
| Sep 30, 2022 | 204.00 Mn |
| Jun 30, 2022 | 185.00 Mn |
| Mar 31, 2022 | 210.00 Mn |
| Dec 31, 2021 | 207.00 Mn |
API Access
Synchrony Financial Professional Fees 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=professional-fees&ticker=SYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=SYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();