Torm (TRMD) Operating Leases (2018 - 2026)
Torm's Operating Leases was $763 million in Q4 2025, down 31.2% from $1.11 billion a year earlier.
Analysis
Torm (TRMD) Operating Leases (2018 - 2026) Analysis & Trends
From Q2 2018 onward, Torm has reported Operating Leases for 14 quarters.
- Operating Leases shows a five-year compound annual growth rate of 161.8% (FY2020 to FY2025).
- In earlier years, Operating Leases was $1.11 billion in FY2024 (+18.2%), $938.7 million in FY2023 (+3.8%), $904.1 million in FY2022 and $3.7 million in FY2021 (-40.3%).
- The Q4 2025 figure marks the lowest quarterly Operating Leases since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - |
| 10 | Torm | 3.69 Bn | -7.99 Bn | 652.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.27 Bn |
| Dec 31, 2025 | 1.16 Bn |
| Jun 30, 2025 | 1.29 Bn |
| Dec 31, 2024 | 1.11 Bn |
| Jun 30, 2024 | 1.42 Bn |
| Dec 31, 2023 | 938.70 Mn |
| Sep 30, 2023 | 949.50 Mn |
| Jun 30, 2023 | 1.29 Bn |
| Dec 31, 2022 | 2.50 Mn |
| Sep 30, 2022 | 928.60 Mn |
| Dec 31, 2021 | 3.70 Mn |
| Dec 31, 2020 | 6.20 Mn |
| Dec 31, 2019 | 10.20 Mn |
| Sep 30, 2019 | 171.00 Mn |
| Jun 30, 2019 | 29.50 Mn |
| Dec 31, 2018 | 3.20 Mn |
| Sep 30, 2018 | 23.00 Mn |
| Jun 30, 2018 | 23.80 Mn |
API Access
Torm Operating Leases 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=operating-leases&ticker=TRMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=TRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();