Slm (SLM) Weighted Average Shares Outstanding (2009 - 2026)
Slm (SLM) reported Weighted Average Shares Outstanding of 185.57 million for Q3 2026, down 10.4% from 207.14 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Slm (SLM) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Slm posted Weighted Average Shares Outstanding of 207.16 million, down 4.2% from FY2024.
- Weighted Average Shares Outstanding has declined for seven consecutive years, with a five-year compound annual growth rate of -11.6% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 216.22 million in FY2024 (-6.6%), 231.41 million in FY2023 (-10.5%), 258.44 million in FY2022 (-18.0%) and 314.99 million in FY2021 (-17.9%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last 30 quarters, with an average decline of 6.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding ranged from 3.6% (Q3 2025) to 23.3% (Q1 2022).
- Per Business Quant data, the three quarters before Q3 2026 came in at 188.58 million (Q2 2026), 195.46 million (Q1 2026) and 207.16 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - |
| 10 | Slm | 3.07 Bn | -13.28 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 185.57 Mn |
| Jun 30, 2026 | 188.58 Mn |
| Mar 31, 2026 | 195.46 Mn |
| Dec 31, 2025 | 207.16 Mn |
| Sep 30, 2025 | 207.14 Mn |
| Jun 30, 2025 | 209.28 Mn |
| Mar 31, 2025 | 210.68 Mn |
| Dec 31, 2024 | 216.22 Mn |
| Sep 30, 2024 | 214.87 Mn |
| Jun 30, 2024 | 218.92 Mn |
| Mar 31, 2024 | 220.42 Mn |
| Dec 31, 2023 | 231.41 Mn |
| Sep 30, 2023 | 226.12 Mn |
| Jun 30, 2023 | 235.06 Mn |
| Mar 31, 2023 | 241.50 Mn |
| Dec 31, 2022 | 258.44 Mn |
| Sep 30, 2022 | 251.27 Mn |
| Jun 30, 2022 | 261.33 Mn |
| Mar 31, 2022 | 276.98 Mn |
| Dec 31, 2021 | 314.99 Mn |
API Access
Slm 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=SLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "SLM", "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=SLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();