Frontline (FRO) EV to EBITDA (2009 - 2024)
Frontline's EV to EBITDA came in at 4.97 for FY2025, up 103.0% from 2.45 in FY2024.
Powered by 
Analysis
Frontline (FRO) EV to EBITDA (2009 - 2024) Analysis & Trends
Going back to FY2009, Frontline's EV to EBITDA data covers 14 years.
- The FY2025 figure represents the highest annual EV to EBITDA since FY2021.
- Per Business Quant, earlier years put EV to EBITDA at 2.45 in FY2024 (-42.4%), 4.24 in FY2023 (+17.2%), 3.62 in FY2022 (-52.5%) and 7.62 in FY2021 (+375.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Frontline | 10.71 Bn | 9.47 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 2.45 |
| Sep 30, 2024 | 4.30 |
| Jun 30, 2024 | 5.11 |
| Mar 31, 2024 | 4.79 |
| Dec 31, 2023 | 4.30 |
| Sep 30, 2023 | 3.42 |
| Jun 30, 2023 | 2.60 |
| Mar 31, 2023 | 3.83 |
| Dec 31, 2022 | 3.68 |
| Sep 30, 2022 | -541.43 |
| Jun 30, 2022 | 6.32 |
| Mar 31, 2022 | -1,220.93 |
| Dec 31, 2021 | 8.01 |
| Sep 30, 2021 | 11.74 |
| Jun 30, 2021 | 6.93 |
| Mar 31, 2021 | -416.64 |
| Dec 31, 2020 | 1.60 |
| Sep 30, 2020 | 1.39 |
| Jun 30, 2020 | -274.35 |
| Mar 31, 2020 | 3.29 |
API Access
Frontline EV to EBITDA 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=ev-to-ebitda&ticker=FRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();