Sfl (SFL) Shares Outstanding (2009 - 2026)
Sfl (SFL) reported Shares Outstanding of 133.06 million for the quarter ended Jun 30, 2026, up 2.8% from 129.39 million a year earlier and unchanged from the prior quarter.
Sfl (SFL) Shares Outstanding (2009 - 2026) Analysis & Trends
Dating back to the quarter ended Mar 31, 2009, Sfl's Shares Outstanding record includes 67 quarters.
- Shares Outstanding has a five-year compound annual growth rate of 4.1% (years ended Dec 2020 to Dec 2025).
- By year, 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, Shares Outstanding has now increased in each of the last seven quarters, with growth averaging 2.3% over the last eight quarters.
- The high point for year-over-year 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 Jun 30, 2026 came in at 133.06 million (quarter ended Mar 31, 2026), 133.06 million (quarter ended Dec 31, 2025) and 129.39 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 593.40 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.86 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 886.40 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 851.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 224.60 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 237.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 654.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 207.66 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 527.75 Mn |
| 10 | Sfl | 1.90 Bn | 1.90 Bn | - | 133.06 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 108.97 Mn |
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_KEY
import 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();