Dorian Lpg (LPG) EBITDA (2013 - 2026)
Dorian Lpg's EBITDA was $160.87 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 369.5% from $34.27 million a year earlier and up 58.5% from the prior quarter.
Dorian Lpg (LPG) EBITDA (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dorian Lpg's EBITDA was $409.67 million through Jun 30, 2026, up 183.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $283.06 million, up 54.3% from FY2025.
- EBITDA shows a five-year compound annual growth rate of 8.4% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $183.46 million in FY2025 (-54.0%), $398.74 million in FY2024 (+49.1%), $267.36 million in FY2023 (+62.3%) and $164.72 million in FY2022 (-13.0%).
- The fiscal Q1 2027 figure marks the highest quarterly EBITDA in data going back to fiscal Q1 2015.
- Compared with a year earlier, EBITDA has increased for four straight quarters, with growth averaging 63.9% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q1 2027 (growth of 369.5%); the worst was fiscal Q3 2025 (a decline of 67.8%).
- Per Business Quant data, LPG's EBITDA in the three fiscal quarters before Q1 2027 was $101.52 million (Q4 2026), $69.72 million (Q3 2026) and $77.56 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 3.59 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 2.71 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.98 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 1.44 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 2.68 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 1.51 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 2.13 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 2.22 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 543.07 Mn |
| 10 | Dorian Lpg | 1.98 Bn | 752.18 Mn | - | 160.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.87 Mn |
| Mar 31, 2026 | 101.52 Mn |
| Dec 31, 2025 | 69.72 Mn |
| Sep 30, 2025 | 77.56 Mn |
| Jun 30, 2025 | 34.27 Mn |
| Mar 31, 2025 | 32.54 Mn |
| Dec 31, 2024 | 41.18 Mn |
| Sep 30, 2024 | 36.78 Mn |
| Jun 30, 2024 | 72.96 Mn |
| Mar 31, 2024 | 100.28 Mn |
| Dec 31, 2023 | 128.02 Mn |
| Sep 30, 2023 | 97.85 Mn |
| Jun 30, 2023 | 72.59 Mn |
| Mar 31, 2023 | 99.86 Mn |
| Dec 31, 2022 | 73.77 Mn |
| Sep 30, 2022 | 48.06 Mn |
| Jun 30, 2022 | 45.67 Mn |
| Mar 31, 2022 | 55.79 Mn |
| Dec 31, 2021 | 41.27 Mn |
| Sep 30, 2021 | 36.57 Mn |
Dorian Lpg 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=LPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "LPG", "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=LPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();