Star Bulk Carriers (SBLK) Shares Outstanding (Diluted) (2014 - 2026)
Star Bulk Carriers' Shares Outstanding (Diluted) came in at 115.42 million for Q2 2026, up 6.2% from 108.7 million a year earlier and unchanged from the prior quarter.
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Analysis
Star Bulk Carriers (SBLK) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
Going back to Q4 2014, Star Bulk Carriers' Shares Outstanding (Diluted) data covers 41 quarters.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 108.7 million in FY2024 (+9.9%), 98.93 million in FY2023 (-3.5%), 102.54 million in FY2022 (+1.0%) and 101.48 million in FY2021 (+5.4%).
- Year-over-year, Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 7.1% over the last four quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q4 2024 (growth of 9.9%), and the weakest in Q4 2023 (a decline of 3.5%).
- Business Quant data shows SBLK's Shares Outstanding (Diluted) at 115.42 million (Q1 2026), 115.42 million (Q4 2025) and 108.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 594.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.86 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 887.10 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 851.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 225.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 239.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 658.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 208.72 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 532.20 Mn |
| 10 | Star Bulk Carriers | 3.33 Bn | 1.50 Bn | 299.80 Mn | 115.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.42 Mn |
| Mar 31, 2026 | 115.42 Mn |
| Dec 31, 2025 | 115.42 Mn |
| Sep 30, 2025 | 108.70 Mn |
| Jun 30, 2025 | 108.70 Mn |
| Mar 31, 2025 | 108.70 Mn |
| Dec 31, 2024 | 108.70 Mn |
| Sep 30, 2024 | 98.93 Mn |
| Jun 30, 2024 | 98.93 Mn |
| Mar 31, 2024 | 98.93 Mn |
| Dec 31, 2023 | 98.93 Mn |
| Sep 30, 2023 | 102.54 Mn |
| Jun 30, 2023 | 102.54 Mn |
| Mar 31, 2023 | 102.54 Mn |
| Dec 31, 2022 | 102.54 Mn |
| Sep 30, 2022 | 101.48 Mn |
| Jun 30, 2022 | 101.48 Mn |
| Mar 31, 2022 | 101.48 Mn |
| Dec 31, 2021 | 101.48 Mn |
| Jun 30, 2021 | 96.28 Mn |
API Access
Star Bulk Carriers Shares Outstanding (Diluted) 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-diluted&ticker=SBLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SBLK", "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-diluted&ticker=SBLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();