Torm (TRMD) Other Accumulated Expenses (2021 - 2026)
Torm (TRMD) recorded Other Accumulated Expenses of $13.8 million in Q2 2026, up 72.5% from $8 million a year earlier.
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Analysis
Torm (TRMD) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Torm reported Other Accumulated Expenses of $3.3 million, down 94.6% from FY2024.
- Across earlier years, Other Accumulated Expenses came in at $61.3 million in FY2024 (+35.6%), $45.2 million in FY2023 (+45.3%), $31.1 million in FY2022 and -$190.47 million in FY2021.
- The Q2 2026 figure is the highest quarterly Other Accumulated Expenses since Q4 2024.
- On a year-over-year basis, Other Accumulated Expenses rose in three of the last four quarters, with growth averaging 35.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Torm | 4.05 Bn | 2.87 Bn | 657.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.80 Mn |
| Dec 31, 2025 | 3.30 Mn |
| Jun 30, 2025 | 8.00 Mn |
| Dec 31, 2024 | 61.30 Mn |
| Jun 30, 2024 | 3.50 Mn |
| Dec 31, 2023 | 45.20 Mn |
| Sep 30, 2023 | 39.40 Mn |
| Jun 30, 2023 | 2.90 Mn |
| Dec 31, 2022 | 31.10 Mn |
| Sep 30, 2022 | 45.30 Mn |
| Dec 31, 2021 | -190.47 Mn |
API Access
Torm Other Accumulated Expenses 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=other-accumulated-expenses&ticker=TRMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=TRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();