Himalaya Shipping Ltd. (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.
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Himalaya Shipping Ltd. (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.
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Historic Data
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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 |
API Access
Himalaya Shipping Ltd. 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_KEYimport 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();