Sfl (SFL) Shares Outstanding (2009 - 2026)
Sfl (SFL) reported Weighted Average Shares Outstanding of 133.06 million for the quarter ended Sep 30, 2026, up 2.8% from 129.39 million a year earlier and unchanged from the prior quarter.
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Analysis
Sfl (SFL) Shares Outstanding (2009 - 2026) Analysis & Trends
Dating back to the quarter ended Mar 31, 2009, Sfl's Weighted Average Shares Outstanding record includes 68 quarters.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of 4.1% (years ended Dec 2020 to Dec 2025).
- By year, Weighted Average Shares Outstanding came in at 129.39 million in the year ended Dec 31, 2024 (+2.5%), 126.25 million in the year ended Dec 31, 2023 (-0.4%), 126.79 million in the year ended Dec 31, 2022 (+3.8%) and 122.14 million in the year ended Dec 31, 2021 (+12.1%).
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last eight quarters, with growth averaging 2.7% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was the quarter ended Sep 30, 2022 (growth of 12.1%); the low point was the quarter ended Dec 31, 2023 (a decline of 0.4%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at 133.06 million (quarter ended Jun 30, 2026), 133.06 million (quarter ended Mar 31, 2026) and 133.06 million (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - | 593.70 Mn |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - | 851.00 Mn |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - | 1.85 Bn |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - | 886.40 Mn |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - | 237.00 Mn |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - | 224.60 Mn |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - | 655.00 Mn |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - | 324.90 Mn |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - | 207.09 Mn |
| 10 | Sfl | 1.45 Bn | 921.03 Mn | 116.19 Mn | 133.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 133.06 Mn |
| Jun 30, 2026 | 133.06 Mn |
| Mar 31, 2026 | 133.06 Mn |
| Dec 31, 2025 | 133.06 Mn |
| Sep 30, 2025 | 129.39 Mn |
| Jun 30, 2025 | 129.39 Mn |
| Mar 31, 2025 | 129.39 Mn |
| Dec 31, 2024 | 129.39 Mn |
| Sep 30, 2024 | 126.25 Mn |
| Jun 30, 2024 | 126.25 Mn |
| Mar 31, 2024 | 126.25 Mn |
| Dec 31, 2023 | 126.25 Mn |
| Sep 30, 2023 | 126.79 Mn |
| Jun 30, 2023 | 126.79 Mn |
| Mar 31, 2023 | 126.79 Mn |
| Dec 31, 2022 | 126.79 Mn |
| Sep 30, 2022 | 122.14 Mn |
| Jun 30, 2022 | 122.14 Mn |
| Mar 31, 2022 | 122.14 Mn |
| Dec 31, 2021 | 122.14 Mn |
API Access
Sfl 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=shares-outstanding&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SFL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();