Star (SGU) Total Liabilities (2010 - 2026)
Star's Total Liabilities came in at $621.24 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.8% from $626.23 million a year earlier and down 16.1% from the prior quarter.
Star (SGU) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Star's Total Liabilities was $640.55 million, down 5.2% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $675.72 million in FY2024 (+10.5%), $611.75 million in FY2023 (-6.5%), $654.56 million in FY2022 (+13.7%) and $575.66 million in FY2021 (-1.2%).
- The fiscal Q3 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q3 2024.
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 5.7%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2022 (growth of 23.1%), and the weakest in fiscal Q1 2024 (a decline of 14.0%).
- Business Quant data shows SGU's Total Liabilities at $740.76 million (Q2 2026), $732.18 million (Q1 2026) and $640.55 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Valero Energy | 112.13 Bn | 92.34 Bn | 5.47 Bn | 36.40 Bn |
| 2 | Marathon Petroleum | 109.39 Bn | 99.79 Bn | 9.27 Bn | 68.59 Bn |
| 3 | HF Sinclair | 18.88 Bn | 13.11 Bn | 1.57 Bn | 8.64 Bn |
| 4 | Sunoco | 10.20 Bn | 4.58 Bn | 1.46 Bn | 21.58 Bn |
| 5 | PBF Energy | 8.88 Bn | 6.58 Bn | 1.15 Bn | 8.17 Bn |
| 6 | Ultrapar Holdings | 7.63 Bn | 1.41 Bn | 912.61 Mn | 6.27 Bn |
| 7 | Cvr Energy | 5.10 Bn | 2.89 Bn | 117.00 Mn | 3.34 Bn |
| 8 | Icahn Enterprises | 4.88 Bn | -880.12 Mn | - | 10.74 Bn |
| 9 | Delek US Holdings | 4.13 Bn | 1.86 Bn | 365.10 Mn | 7.13 Bn |
| 10 | Star | 419.00 Mn | 320.20 Mn | 11.90 Mn | 621.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 621.24 Mn |
| Mar 31, 2026 | 740.76 Mn |
| Dec 31, 2025 | 732.18 Mn |
| Sep 30, 2025 | 640.55 Mn |
| Jun 30, 2025 | 626.23 Mn |
| Mar 31, 2025 | 688.89 Mn |
| Dec 31, 2024 | 695.71 Mn |
| Sep 30, 2024 | 675.72 Mn |
| Jun 30, 2024 | 557.96 Mn |
| Mar 31, 2024 | 608.62 Mn |
| Dec 31, 2023 | 674.29 Mn |
| Sep 30, 2023 | 611.75 Mn |
| Jun 30, 2023 | 595.54 Mn |
| Mar 31, 2023 | 688.98 Mn |
| Dec 31, 2022 | 784.27 Mn |
| Sep 30, 2022 | 654.56 Mn |
| Jun 30, 2022 | 664.74 Mn |
| Mar 31, 2022 | 749.79 Mn |
| Dec 31, 2021 | 695.40 Mn |
| Sep 30, 2021 | 575.66 Mn |
Star Total Liabilities 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=total-liabilities&ticker=SGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SGU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=SGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();