Synchrony Financial (SYF) Weighted Average Shares Outstanding (2013 - 2026)
Synchrony Financial's Weighted Average Shares Outstanding came in at 319 million for Q3 2026, down 12.8% from 365.9 million a year earlier and down 3.7% from the prior quarter.
Synchrony Financial (SYF) Weighted Average Shares Outstanding (2013 - 2026) Analysis & Trends
For FY2025, Synchrony Financial's Weighted Average Shares Outstanding was 369.9 million, down 6.7% from FY2024.
- Weighted Average Shares Outstanding has declined in each of the last ten years, with a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 396.5 million in FY2024 (-5.9%), 421.2 million in FY2023 (-12.3%), 480.4 million in FY2022 (-14.9%) and 564.6 million in FY2021 (-4.1%).
- The Q3 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding in data going back to Q1 2013.
- Year-over-year, Weighted Average Shares Outstanding has declined for 41 consecutive quarters, with an average decline of 8.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding ranged from 4.1% (Q4 2021) to 16.4% (Q3 2022).
- Business Quant data shows SYF's Weighted Average Shares Outstanding at 331.3 million (Q2 2026), 342.4 million (Q1 2026) and 369.9 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 5 | Federal National Mortgage Association Fannie Mae | 23.47 Bn | 23.47 Bn | - |
| 6 | Synchrony Financial | 22.90 Bn | -44.72 Bn | - |
| 7 | Royal Gold | 19.26 Bn | 18.48 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 13.77 Bn | 4.86 Bn | - |
| 9 | Ares Capital | 13.38 Bn | 10.82 Bn | - |
| 10 | Federal Home Loan Mortgage | 12.16 Bn | -6.58 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 319.00 Mn |
| Jun 30, 2026 | 331.30 Mn |
| Mar 31, 2026 | 342.40 Mn |
| Dec 31, 2025 | 369.90 Mn |
| Sep 30, 2025 | 365.90 Mn |
| Jun 30, 2025 | 376.20 Mn |
| Mar 31, 2025 | 385.20 Mn |
| Dec 31, 2024 | 396.50 Mn |
| Sep 30, 2024 | 392.30 Mn |
| Jun 30, 2024 | 399.30 Mn |
| Mar 31, 2024 | 404.70 Mn |
| Dec 31, 2023 | 421.20 Mn |
| Sep 30, 2023 | 416.00 Mn |
| Jun 30, 2023 | 422.70 Mn |
| Mar 31, 2023 | 434.40 Mn |
| Dec 31, 2022 | 480.40 Mn |
| Sep 30, 2022 | 468.50 Mn |
| Jun 30, 2022 | 493.00 Mn |
| Mar 31, 2022 | 515.30 Mn |
| Dec 31, 2021 | 564.60 Mn |
Synchrony Financial Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=SYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=SYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();