Himalaya Shipping (HSHP) Accumulated Expenses (2022 - 2026)
Himalaya Shipping (HSHP) recorded Accumulated Expenses of $7.3 million in the quarter ended Jun 30, 2026, up 15.9% from $6.3 million a year earlier and up 19.7% from the prior quarter.
Himalaya Shipping (HSHP) Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Himalaya Shipping reported Accumulated Expenses of $6.4 million, down 11.1% from the prior year.
- Annual Accumulated Expenses has a three-year compound annual growth rate of 74.8% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Accumulated Expenses came in at $7.2 million in the year ended Dec 31, 2024 (+184.5%), $2.53 million in the year ended Dec 31, 2023 (+111.1%) and $1.2 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Accumulated Expenses since the quarter ended Jun 30, 2024.
- On a year-over-year basis, Accumulated Expenses rose in three of the last eight quarters, with growth averaging 26.6%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 241.6% in the quarter ended Jun 30, 2024, against a decline of 31.7% in the quarter ended Jun 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.1 million (quarter ended Mar 31, 2026), $6.4 million (quarter ended Dec 31, 2025) and $5.8 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - |
| 10 | Himalaya Shipping | 841.10 Mn | 841.50 Mn | 46.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.30 Mn |
| Mar 31, 2026 | 6.10 Mn |
| Dec 31, 2025 | 6.40 Mn |
| Sep 30, 2025 | 5.80 Mn |
| Jun 30, 2025 | 6.30 Mn |
| Mar 31, 2025 | 6.69 Mn |
| Dec 31, 2024 | 7.20 Mn |
| Sep 30, 2024 | 7.19 Mn |
| Jun 30, 2024 | 9.22 Mn |
| Mar 31, 2024 | 7.44 Mn |
| Dec 31, 2023 | 2.53 Mn |
| Sep 30, 2023 | 3.72 Mn |
| Jun 30, 2023 | 2.70 Mn |
| Dec 31, 2022 | 1.20 Mn |
Himalaya Shipping 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=accumulated-expenses&ticker=HSHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "HSHP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=HSHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();