Star Bulk Carriers (SBLK) Tax Provisions (2016 - 2024)
Star Bulk Carriers' Tax Provisions came in at $116,000 for FY2024, compared with -$183,000 in FY2023.
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Analysis
Star Bulk Carriers (SBLK) Tax Provisions (2016 - 2024) Analysis & Trends
Going back to FY2016, Star Bulk Carriers' Tax Provisions data covers 9 years.
- The FY2024 figure represents the highest annual Tax Provisions in data going back to FY2016.
- Per Business Quant, earlier years put Tax Provisions at -$183,000 in FY2023, -$244,000 in FY2022, -$16,000 in FY2021 and -$152,000 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 562.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 318.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 242.18 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 157.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 225.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 510.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 405.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 116.87 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -64.16 Mn |
| 10 | Star Bulk Carriers | 3.33 Bn | 1.50 Bn | 299.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 10,000.00 |
| Mar 31, 2024 | 106,000.00 |
| Dec 31, 2023 | -183,000.00 |
| Sep 30, 2023 | -78,000.00 |
| Mar 31, 2023 | -103,000.00 |
| Dec 31, 2022 | -244,000.00 |
| Sep 30, 2022 | -7,000.00 |
| Mar 31, 2022 | -37,000.00 |
| Dec 31, 2021 | -16,000.00 |
| Dec 31, 2020 | -152,000.00 |
| Sep 30, 2020 | -14,000.00 |
| Jun 30, 2020 | 16,000.00 |
| Mar 31, 2020 | -43,000.00 |
| Dec 31, 2019 | -109,000.00 |
| Sep 30, 2019 | -11,000.00 |
| Dec 31, 2018 | -61,000.00 |
| Dec 31, 2017 | -236,000.00 |
| Jun 30, 2017 | -52,000.00 |
| Mar 31, 2017 | -65,000.00 |
| Dec 31, 2016 | -288,286.37 |
API Access
Star Bulk Carriers Tax Provisions 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=tax-provisions&ticker=SBLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SBLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();