Torm (TRMD) Current Leases (2016 - 2019)
Torm's Current Leases came in at $401.4 million for Q4 2025, up 40.6% from $285.4 million a year earlier.
Analysis
Torm (TRMD) Current Leases (2016 - 2019) Analysis & Trends
Going back to Q4 2016, Torm's Current Leases data covers 18 quarters.
- Current Leases has increased in each of the last three years, with a three-year compound annual growth rate of 24.8% (FY2022 to FY2025).
- Going back by year, Current Leases was $285.4 million in FY2024 (+7.5%), $265.4 million in FY2023 (+28.6%) and $206.4 million in FY2022.
- The Q4 2025 figure represents the highest quarterly Current Leases in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Leases (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.93 Bn | 166.45 Bn | - | - |
| 2 | Csx | 89.32 Bn | 85.53 Bn | - | - |
| 3 | United Parcel Service | 83.51 Bn | 60.41 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 77.76 Bn | 76.77 Bn | - | - |
| 5 | Norfolk Southern | 73.27 Bn | 67.91 Bn | - | - |
| 6 | Fedex | 70.10 Bn | 36.04 Bn | - | - |
| 7 | Delta Air Lines | 49.04 Bn | 31.22 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.12 Bn | 38.38 Bn | - | - |
| 9 | United Airlines Holdings | 31.18 Bn | -25.20 Bn | - | - |
| 10 | Torm | 3.70 Bn | -7.98 Bn | 652.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 6.10 Mn |
| Dec 31, 2018 | 3.20 Mn |
| Sep 30, 2018 | 3.10 Mn |
| Jun 30, 2018 | 3.00 Mn |
| Mar 31, 2018 | 3.00 Mn |
| Dec 31, 2017 | 2.90 Mn |
| Sep 30, 2017 | 2.80 Mn |
| Jun 30, 2017 | 16.20 Mn |
| Mar 31, 2017 | 15.60 Mn |
| Dec 31, 2016 | -3.41 Mn |
API Access
Torm Current 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=current-leases&ticker=TRMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-leases&ticker=TRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();