Torm (TRMD) Price to Earnings (2019 - 2026)
Torm's Price to Earnings was 1.59 in Q2 2026, down 49.0% from 3.11 a year earlier and down 22.1% from the prior quarter.
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Analysis
Torm (TRMD) Price to Earnings (2019 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Torm came in at 6.94, up 123.0% from FY2024.
- In earlier years, Price to Earnings was 3.11 in FY2024 (-23.1%), 4.05 in FY2023 (-5.2%) and 4.27 in FY2022.
- Quarterly Price to Earnings has moved between 1.36 (Q4 2025) and 11.70 (Q2 2022) over five years.
- The best year-over-year quarter for Price to Earnings over five years was Q2 2024 (growth of 85.2%); the worst was Q2 2023 (a decline of 78.3%).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.59 |
| Mar 31, 2026 | 2.03 |
| Dec 31, 2025 | 1.36 |
| Jun 30, 2025 | 3.11 |
| Mar 31, 2025 | 2.48 |
| Jun 30, 2024 | 4.69 |
| Mar 31, 2024 | 4.28 |
| Dec 31, 2023 | 4.05 |
| Sep 30, 2023 | 3.27 |
| Jun 30, 2023 | 2.53 |
| Mar 31, 2023 | 3.63 |
| Dec 31, 2022 | 4.27 |
| Sep 30, 2022 | 5.06 |
| Jun 30, 2022 | 11.70 |
| Mar 31, 2021 | 65.55 |
| Dec 31, 2020 | 5.99 |
| Sep 30, 2020 | 1.86 |
| Jun 30, 2020 | 1.88 |
| Mar 31, 2020 | 2.84 |
| Dec 31, 2019 | 4.88 |
API Access
Torm Price to Earnings 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=price-to-earnings&ticker=TRMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();