Frontline (FRO) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Frontline's Non-Current Debt was -$8.87 million in FY2025, compared with -$1.59 million in FY2024.
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Analysis
Frontline (FRO) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
From FY2009 onward, Frontline has reported Non-Current Debt for 16 years.
- The FY2025 figure marks the lowest annual Non-Current Debt since FY2018.
- Per Business Quant data, Non-Current Debt in earlier years was -$1.59 million in FY2024, $10.67 million in FY2023, -$6.81 million in FY2022 and $18.97 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | -13.00 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 822.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | -1.00 Mn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | -4.29 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | -735.00 Mn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | -11.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | -1.23 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | -135.00 Mn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | - |
| 10 | Frontline | 10.12 Bn | 8.88 Bn | - | 401.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 401.15 Mn |
| Mar 31, 2026 | 743.13 Mn |
| Dec 31, 2025 | -4.02 Bn |
| Sep 30, 2025 | 3.50 Bn |
| Jun 30, 2025 | 2.64 Bn |
| Mar 31, 2025 | 364.46 Mn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 662.60 Mn |
| Jun 30, 2024 | 1.16 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Dec 31, 2023 | 1.48 Bn |
| Sep 30, 2023 | 45.42 Mn |
| Jun 30, 2023 | 345.43 Mn |
| Mar 31, 2023 | 270.57 Mn |
| Dec 31, 2022 | 179.10 Mn |
| Sep 30, 2022 | 612.71 Mn |
| Jun 30, 2022 | 370.52 Mn |
| Mar 31, 2022 | 86.76 Mn |
| Dec 31, 2021 | 238.13 Mn |
| Sep 30, 2021 | 122.61 Mn |
API Access
Frontline Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=FRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "FRO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();