Torm (TRMD) EV to EBITDA (2018 - 2026)
Torm's (TRMD) EV to EBITDA stood at 1.41 in Q2 2026, down 10.6% from 1.58 a year earlier and down 29.7% from the prior quarter.
Torm (TRMD) EV to EBITDA (2018 - 2026) Analysis & Trends
On a TTM basis, Torm's EV to EBITDA came in at 0.92 as of Jun 30, 2026; for FY2025, it came in at 3.16, up 65.3% from FY2024.
- Across earlier years, EV to EBITDA came in at 1.91 in FY2024 (-30.3%), 2.74 in FY2023 (-1.9%), 2.80 in FY2022 (-26.3%) and 3.79 in FY2021 (+129.1%).
- Quarterly EV to EBITDA has ranged from 1.32 in Q4 2025 to 10.66 in Q1 2022 over the past five years.
- On a year-over-year basis, EV to EBITDA rose in 1 of the last four quarters, with an average decline of 15.7%.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 77.6% in Q2 2024, against a decline of 77.1% in Q1 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Torm | 3.38 Bn | 2.20 Bn | 652.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.41 |
| Mar 31, 2026 | 2.01 |
| Dec 31, 2025 | 1.32 |
| Jun 30, 2025 | 1.58 |
| Mar 31, 2025 | 1.41 |
| Jun 30, 2024 | 2.98 |
| Mar 31, 2024 | 2.68 |
| Dec 31, 2023 | 2.74 |
| Sep 30, 2023 | 2.26 |
| Jun 30, 2023 | 1.68 |
| Mar 31, 2023 | 2.44 |
| Dec 31, 2022 | 3.10 |
| Sep 30, 2022 | 3.18 |
| Jun 30, 2022 | 4.60 |
| Mar 31, 2022 | 10.66 |
| Dec 31, 2021 | 4.49 |
| Sep 30, 2021 | 4.27 |
| Dec 31, 2020 | 4.65 |
| Jun 30, 2019 | 4.74 |
| Dec 31, 2018 | 2.66 |
Torm 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=TRMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "TRMD", "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=TRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();