Dorian Lpg (LPG) Operating Expenses (2013 - 2025)
Dorian Lpg's Operating Expenses was $69.34 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), up 19.7% from $57.94 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Dorian Lpg (LPG) Operating Expenses (2013 - 2025) Analysis & Trends
On a trailing twelve-month basis, Dorian Lpg's Operating Expenses was $265.81 million through Dec 31, 2025, up 10.3% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $243.28 million, up 3.8% from FY2024.
- Operating Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $234.48 million in FY2024 (+21.0%), $193.79 million in FY2023 (+1.2%), $191.45 million in FY2022 (-5.3%) and $202.12 million in FY2021 (+16.0%).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2015.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 9.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2024 (growth of 34.1%); the worst was fiscal Q4 2022 (a decline of 13.8%).
- Per Business Quant data, LPG's Operating Expenses in the three fiscal quarters before Q3 2026 was $65.36 million (Q2 2026), $69.27 million (Q1 2026) and $61.84 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.10 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Dorian Lpg | 2.33 Bn | 1.16 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 69.34 Mn |
| Sep 30, 2025 | 65.36 Mn |
| Jun 30, 2025 | 69.27 Mn |
| Mar 31, 2025 | 61.84 Mn |
| Dec 31, 2024 | 57.94 Mn |
| Sep 30, 2024 | 63.97 Mn |
| Jun 30, 2024 | 59.53 Mn |
| Mar 31, 2024 | 59.66 Mn |
| Dec 31, 2023 | 53.37 Mn |
| Sep 30, 2023 | 64.89 Mn |
| Jun 30, 2023 | 56.56 Mn |
| Mar 31, 2023 | 50.46 Mn |
| Dec 31, 2022 | 46.47 Mn |
| Sep 30, 2022 | 48.39 Mn |
| Jun 30, 2022 | 48.47 Mn |
| Mar 31, 2022 | 46.48 Mn |
| Dec 31, 2021 | 46.63 Mn |
| Sep 30, 2021 | 48.02 Mn |
| Jun 30, 2021 | 50.33 Mn |
| Mar 31, 2021 | 53.93 Mn |
API Access
Dorian Lpg Operating 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=operating-expenses&ticker=LPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();