Frontline (FRO) Operating Expenses (2009 - 2026)
Frontline (FRO) posted Operating Expenses of $57.45 million for Q2 2026, down 3.9% from $59.78 million a year earlier and down 6.9% from the prior quarter.
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Analysis
Frontline (FRO) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Frontline was $237.88 million, up 1.2% year-over-year; for FY2025, it came in at $238.85 million, up 2.8% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior years, Frontline's Operating Expenses was $232.24 million in FY2024 (+31.6%), $176.53 million in FY2023 (+0.8%), $175.16 million in FY2022 (+6.6%) and $164.25 million in FY2021 (-10.3%).
- Quarterly Operating Expenses has run from a low of $41.13 million in Q1 2022 to a high of $62.91 million in Q3 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 8.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2024, with growth of 36.8%; the weakest was Q4 2021, with a decline of 94.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $61.71 million (Q1 2026), $55.82 million (Q4 2025) and $62.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.10 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Frontline | 10.71 Bn | 9.47 Bn | - | 57.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.45 Mn |
| Mar 31, 2026 | 61.71 Mn |
| Dec 31, 2025 | 55.82 Mn |
| Sep 30, 2025 | 62.91 Mn |
| Jun 30, 2025 | 59.78 Mn |
| Mar 31, 2025 | 60.34 Mn |
| Dec 31, 2024 | 55.45 Mn |
| Sep 30, 2024 | 59.45 Mn |
| Jun 30, 2024 | 57.52 Mn |
| Mar 31, 2024 | 59.83 Mn |
| Dec 31, 2023 | 44.94 Mn |
| Sep 30, 2023 | 44.10 Mn |
| Jun 30, 2023 | 43.77 Mn |
| Mar 31, 2023 | 43.72 Mn |
| Dec 31, 2022 | 49.48 Mn |
| Sep 30, 2022 | 43.45 Mn |
| Jun 30, 2022 | 51.16 Mn |
| Mar 31, 2022 | 41.13 Mn |
| Dec 31, 2021 | 41.90 Mn |
| Sep 30, 2021 | 45.56 Mn |
API Access
Frontline Operating Expenses 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=operating-expenses&ticker=FRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();