Frontline (FRO) Total Liabilities (2009 - 2026)
Frontline's Total Liabilities was $2.66 billion in Q2 2026, down 29.0% from $3.74 billion a year earlier and down 5.9% from the prior quarter.
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Analysis
Frontline (FRO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Frontline came in at $3.24 billion, down 16.4% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $3.88 billion in FY2024 (+7.6%), $3.61 billion in FY2023 (+43.7%), $2.51 billion in FY2022 (-35.7%) and $3.9 billion in FY2021 (+69.2%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q3 2023.
- Compared with a year earlier, Total Liabilities has declined for six straight quarters, with an average decline of 3.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2024 (growth of 70.0%); the worst was Q4 2022 (a decline of 35.7%).
- Per Business Quant data, FRO's Total Liabilities in the three quarters before Q2 2026 was $2.82 billion (Q1 2026), $3.24 billion (Q4 2025) and $3.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Frontline | 10.71 Bn | 9.47 Bn | - | 2.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.66 Bn |
| Mar 31, 2026 | 2.82 Bn |
| Dec 31, 2025 | 3.24 Bn |
| Sep 30, 2025 | 3.39 Bn |
| Jun 30, 2025 | 3.74 Bn |
| Mar 31, 2025 | 3.81 Bn |
| Dec 31, 2024 | 3.88 Bn |
| Sep 30, 2024 | 3.94 Bn |
| Jun 30, 2024 | 4.03 Bn |
| Mar 31, 2024 | 4.25 Bn |
| Dec 31, 2023 | 3.61 Bn |
| Sep 30, 2023 | 2.37 Bn |
| Jun 30, 2023 | 2.41 Bn |
| Mar 31, 2023 | 2.50 Bn |
| Dec 31, 2022 | 2.51 Bn |
| Sep 30, 2022 | 2.53 Bn |
| Jun 30, 2022 | 2.47 Bn |
| Mar 31, 2022 | 2.39 Bn |
| Dec 31, 2021 | 3.90 Bn |
| Sep 30, 2021 | 2.41 Bn |
API Access
Frontline 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=FRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();