Torm (TRMD) EV to EBITDA (2018 - 2026)
Torm's (TRMD) EV to EBITDA stood at 1.14 in Q2 2026, up 84.8% from 0.61 a year earlier but down 31.4% 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 0.74 as of Jun 30, 2026; for FY2025, it came in at 3.15, up 65.0% from FY2024.
- Across earlier years, EV to EBITDA came in at 1.91 in FY2024 (-30.4%), 2.74 in FY2023 (-2.3%), 2.81 in FY2022 (-26.1%) and 3.79 in FY2021 (+129.1%).
- Quarterly EV to EBITDA has ranged from 0.58 in Q4 2025 to 17.94 in Q2 2022 over the past five years.
- On a year-over-year basis, EV to EBITDA rose in two of the last six quarters, with growth averaging 6.6%.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 362.5% in Q4 2021, against a decline of 92.7% in Q2 2023 at the low end.
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 | Torm | 3.59 Bn | 2.41 Bn | 657.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 |
| Mar 31, 2026 | 1.65 |
| Dec 31, 2025 | 0.58 |
| Jun 30, 2025 | 0.61 |
| Mar 31, 2025 | 0.61 |
| Dec 31, 2024 | 0.62 |
| Jun 30, 2024 | 2.28 |
| Mar 31, 2024 | 2.04 |
| Dec 31, 2023 | 1.90 |
| Sep 30, 2023 | 1.74 |
| Jun 30, 2023 | 1.32 |
| Mar 31, 2023 | 2.00 |
| Dec 31, 2022 | 2.40 |
| Sep 30, 2022 | 4.94 |
| Jun 30, 2022 | 17.94 |
| Dec 31, 2021 | 10.69 |
| Sep 30, 2021 | 2.66 |
| Dec 31, 2020 | 2.31 |
| Dec 31, 2019 | 2.53 |
| Sep 30, 2019 | 2.97 |
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();