Torm (TRMD) Capital Expenditures (2017 - 2023)
Torm's Capital Expenditures came in at $308.5 million for FY2025, down 47.0% from $582.4 million in FY2024.
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Analysis
Torm (TRMD) Capital Expenditures (2017 - 2023) Analysis & Trends
Going back to FY2015, Torm's Capital Expenditures data covers 11 years.
- Capital Expenditures carries a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Capital Expenditures since FY2022.
- Per Business Quant, earlier years put Capital Expenditures at $582.4 million in FY2024 (+14.3%), $509.7 million in FY2023 (+327.2%), $119.3 million in FY2022 (-62.7%) and $319.79 million in FY2021 (+84.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 873.00 Mn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 547.98 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 693.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 439.00 Mn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 77.04 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | -551.77 Mn |
| 10 | Torm | 3.59 Bn | 2.41 Bn | 657.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 152.20 Mn |
| Sep 30, 2023 | 23.90 Mn |
| Jun 30, 2023 | 118.50 Mn |
| Mar 31, 2023 | 215.10 Mn |
| Dec 31, 2022 | 12.60 Mn |
| Sep 30, 2022 | 47.10 Mn |
| Dec 31, 2021 | 47.49 Mn |
| Sep 30, 2021 | 61.80 Mn |
| Dec 31, 2020 | 37.75 Mn |
| Dec 31, 2018 | 59.54 Mn |
| Sep 30, 2018 | 16.80 Mn |
| Dec 31, 2017 | 16.11 Mn |
API Access
Torm Capital Expenditures 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=capital-expenditures&ticker=TRMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();