Torm (TRMD) EBITDA (2017 - 2026)
Torm (TRMD) recorded EBITDA of $415.6 million in Q2 2026, up 227.8% from $126.8 million a year earlier and up 409.3% from the prior quarter.
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Analysis
Torm (TRMD) EBITDA (2017 - 2026) Analysis & Trends
On a TTM basis, Torm's EBITDA came in at $1.98 billion as of Jun 30, 2026, down 1.2% year-over-year; for FY2025, it came in at $570.8 million, down 32.9% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $850.8 million in FY2024 (+0.3%), $847.9 million in FY2023 (+14.5%), $740.5 million in FY2022 (+459.9%) and $132.25 million in FY2021 (-49.3%).
- Quarterly EBITDA has ranged from -$49.42 million in Q4 2021 to $1.59 billion in Q4 2024 over the past five years.
- On a year-over-year basis, EBITDA rose in three of the last six quarters, with growth averaging 70.6%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 763.2% in Q3 2022, against a decline of 83.9% in Q1 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.40 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.92 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.44 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 1.91 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.48 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.52 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 557.01 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.15 Bn |
| 10 | Torm | 3.59 Bn | 2.41 Bn | 657.90 Mn | 415.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 415.60 Mn |
| Mar 31, 2026 | 81.60 Mn |
| Dec 31, 2025 | 1.35 Bn |
| Jun 30, 2025 | 126.80 Mn |
| Mar 31, 2025 | 29.00 Mn |
| Dec 31, 2024 | 1.59 Bn |
| Jun 30, 2024 | 251.10 Mn |
| Mar 31, 2024 | 179.60 Mn |
| Dec 31, 2023 | 606.20 Mn |
| Sep 30, 2023 | 178.20 Mn |
| Jun 30, 2023 | 236.80 Mn |
| Mar 31, 2023 | 198.50 Mn |
| Dec 31, 2022 | 530.30 Mn |
| Sep 30, 2022 | 262.40 Mn |
| Jun 30, 2022 | 84.20 Mn |
| Mar 31, 2022 | -12.60 Mn |
| Dec 31, 2021 | -49.42 Mn |
| Sep 30, 2021 | 30.40 Mn |
| Dec 31, 2020 | -70.28 Mn |
| Dec 31, 2019 | 136.22 Mn |
API Access
Torm 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=ebitda&ticker=TRMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=TRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();