Frontline (FRO) Total Non-Current Liabilities (2009 - 2026)
Frontline (FRO) posted Total Non-Current Liabilities of $2.17 billion for Q2 2026, down 33.6% from $3.27 billion a year earlier and down 7.8% from the prior quarter.
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Analysis
Frontline (FRO) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Frontline's Total Non-Current Liabilities came in at $2.75 billion, down 16.3% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior years, Frontline's Total Non-Current Liabilities was $3.28 billion in FY2024 (+2.8%), $3.2 billion in FY2023 (+51.0%), $2.12 billion in FY2022 (-14.1%) and $2.46 billion in FY2021 (+6.8%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q3 2023.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last six quarters, with an average decline of 3.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2024, with growth of 86.3%; the weakest was Q2 2026, with a decline of 33.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $2.35 billion (Q1 2026), $2.75 billion (Q4 2025) and $2.95 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 48.84 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 53.87 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 30.27 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 29.45 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 60.43 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 27.52 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 29.96 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 40.73 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 639.21 Mn |
| 10 | Frontline | 10.12 Bn | 8.88 Bn | - | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.17 Bn |
| Mar 31, 2026 | 2.35 Bn |
| Dec 31, 2025 | 2.75 Bn |
| Sep 30, 2025 | 2.95 Bn |
| Jun 30, 2025 | 3.27 Bn |
| Mar 31, 2025 | 3.35 Bn |
| Dec 31, 2024 | 3.28 Bn |
| Sep 30, 2024 | 3.39 Bn |
| Jun 30, 2024 | 3.40 Bn |
| Mar 31, 2024 | 3.77 Bn |
| Dec 31, 2023 | 3.20 Bn |
| Sep 30, 2023 | 1.90 Bn |
| Jun 30, 2023 | 1.94 Bn |
| Mar 31, 2023 | 2.02 Bn |
| Dec 31, 2022 | 2.12 Bn |
| Sep 30, 2022 | 2.10 Bn |
| Jun 30, 2022 | 1.92 Bn |
| Mar 31, 2022 | 1.84 Bn |
| Dec 31, 2021 | 2.46 Bn |
| Sep 30, 2021 | 2.14 Bn |
API Access
Frontline 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=FRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();