Himalaya Shipping (HSHP) EBITDA (2023 - 2026)
Himalaya Shipping's EBITDA came in at $44.6 million for the quarter ended Jun 30, 2026, up 107.4% from $21.5 million a year earlier and up 77.0% from the prior quarter.
Himalaya Shipping (HSHP) EBITDA (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Himalaya Shipping reported EBITDA of $133.7 million, up 49.4% year-over-year; for the year ended Dec 31, 2025, it came in at $100.1 million, up 4.7% from the prior year.
- Going back by year, EBITDA was $95.6 million in the year ended Dec 31, 2024 (+280.9%), $25.1 million in the year ended Dec 31, 2023, -$1.97 million in the year ended Dec 31, 2022 and -$1.04 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly EBITDA in data going back to the quarter ended Mar 31, 2023.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 81.0% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Jun 30, 2024 (growth of 501.8%), and the weakest in the quarter ended Mar 31, 2025 (a decline of 16.4%).
- Business Quant data shows HSHP's EBITDA at $25.2 million (quarter ended Mar 31, 2026), $33.9 million (quarter ended Dec 31, 2025) and $30 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 3.40 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 1.48 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 1.86 Bn |
| 10 | Himalaya Shipping | 739.87 Mn | 621.77 Mn | 46.60 Mn | 44.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.60 Mn |
| Mar 31, 2026 | 25.20 Mn |
| Dec 31, 2025 | 33.90 Mn |
| Sep 30, 2025 | 30.00 Mn |
| Jun 30, 2025 | 21.50 Mn |
| Mar 31, 2025 | 14.50 Mn |
| Dec 31, 2024 | 22.00 Mn |
| Sep 30, 2024 | 31.50 Mn |
| Jun 30, 2024 | 24.60 Mn |
| Mar 31, 2024 | 17.35 Mn |
| Dec 31, 2023 | 13.79 Mn |
| Sep 30, 2023 | 6.47 Mn |
| Jun 30, 2023 | 4.09 Mn |
| Mar 31, 2023 | 769,000.00 |
Himalaya Shipping EBITDA 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=ebitda&ticker=HSHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HSHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();