Star (SGU) Total Non-Current Liabilities (2010 - 2026)
Star's Total Non-Current Liabilities was $606.01 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.7% from $609.99 million a year earlier and down 16.4% from the prior quarter.
Star (SGU) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Non-Current Liabilities at Star came in at $624.38 million, down 5.3% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $659.45 million in FY2024 (+10.7%), $595.58 million in FY2023 (-6.9%), $639.79 million in FY2022 (+16.2%) and $550.42 million in FY2021 (-1.3%).
- The fiscal Q3 2026 figure marks the lowest quarterly Total Non-Current Liabilities since fiscal Q3 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 5.9%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q2 2022 (growth of 25.7%); the worst was fiscal Q1 2024 (a decline of 14.5%).
- Per Business Quant data, SGU's Total Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $725.25 million (Q2 2026), $715.97 million (Q1 2026) and $624.38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Valero Energy | 111.65 Bn | 91.85 Bn | 5.47 Bn | 34.05 Bn |
| 2 | Marathon Petroleum | 110.08 Bn | 100.48 Bn | 9.27 Bn | 66.34 Bn |
| 3 | HF Sinclair | 18.77 Bn | 13.00 Bn | 1.57 Bn | 8.17 Bn |
| 4 | Sunoco | 9.95 Bn | 4.33 Bn | 1.46 Bn | 21.05 Bn |
| 5 | PBF Energy | 8.98 Bn | 6.67 Bn | 1.15 Bn | 7.92 Bn |
| 6 | Ultrapar Holdings | 7.84 Bn | 1.62 Bn | 912.61 Mn | 3.45 Bn |
| 7 | Cvr Energy | 5.08 Bn | 2.87 Bn | 117.00 Mn | 2.12 Bn |
| 8 | Icahn Enterprises | 4.88 Bn | -880.12 Mn | - | 9.92 Bn |
| 9 | Delek US Holdings | 4.20 Bn | 1.93 Bn | 365.10 Mn | 3.72 Bn |
| 10 | Star | 418.01 Mn | 319.21 Mn | 11.90 Mn | 606.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 606.01 Mn |
| Mar 31, 2026 | 725.25 Mn |
| Dec 31, 2025 | 715.97 Mn |
| Sep 30, 2025 | 624.38 Mn |
| Jun 30, 2025 | 609.99 Mn |
| Mar 31, 2025 | 672.88 Mn |
| Dec 31, 2024 | 679.86 Mn |
| Sep 30, 2024 | 659.45 Mn |
| Jun 30, 2024 | 541.94 Mn |
| Mar 31, 2024 | 592.54 Mn |
| Dec 31, 2023 | 657.99 Mn |
| Sep 30, 2023 | 595.58 Mn |
| Jun 30, 2023 | 579.20 Mn |
| Mar 31, 2023 | 673.58 Mn |
| Dec 31, 2022 | 769.49 Mn |
| Sep 30, 2022 | 639.79 Mn |
| Jun 30, 2022 | 649.19 Mn |
| Mar 31, 2022 | 732.60 Mn |
| Dec 31, 2021 | 676.45 Mn |
| Sep 30, 2021 | 550.42 Mn |
Star Total Non-Current 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-non-current-liabilities&ticker=SGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();