Imperial Petroleum (IMPP) Accumulated Expenses (2020 - 2026)
Imperial Petroleum (IMPP) reported Accumulated Expenses of $6.37 million for the quarter ended Jun 30, 2026, up 96.8% from $3.24 million a year earlier and up 20.1% from the prior quarter.
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Analysis
Imperial Petroleum (IMPP) Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Imperial Petroleum posted Accumulated Expenses of $4.2 million, up 24.5% from the prior year.
- Accumulated Expenses has a five-year compound annual growth rate of 60.7% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $3.37 million in the year ended Dec 31, 2024 (+12.0%), $3.01 million in the year ended Dec 31, 2023 (unchanged), $3.01 million in the year ended Dec 31, 2022 (+518.2%) and $486,674 in the year ended Dec 31, 2021 (+24.5%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Accumulated Expenses in data going back to the quarter ended Dec 31, 2020.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 21.7% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Jun 30, 2024 (growth of 797.0%); the low point was the quarter ended Jun 21, 2023 (a decline of 67.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $5.31 million (quarter ended Mar 31, 2026), $4.2 million (quarter ended Dec 31, 2025) and $2.89 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Imperial Petroleum | 176.29 Mn | -559.91 Mn | 66.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.37 Mn |
| Mar 31, 2026 | 5.31 Mn |
| Dec 31, 2025 | 4.20 Mn |
| Sep 30, 2025 | 2.89 Mn |
| Jun 30, 2025 | 3.24 Mn |
| Mar 31, 2025 | 3.60 Mn |
| Dec 31, 2024 | 3.37 Mn |
| Sep 30, 2024 | 3.63 Mn |
| Jun 30, 2024 | 3.21 Mn |
| Mar 31, 2024 | 4.20 Mn |
| Dec 31, 2023 | 3.01 Mn |
| Sep 30, 2023 | 2.85 Mn |
| Jun 21, 2023 | 357,647.00 |
| Mar 31, 2023 | 2.59 Mn |
| Dec 31, 2022 | 3.01 Mn |
| Sep 30, 2022 | 1.56 Mn |
| Jun 30, 2022 | 1.09 Mn |
| Mar 31, 2022 | 1.39 Mn |
| Dec 31, 2021 | 486,674.00 |
| Sep 30, 2021 | 217,102.00 |
API Access
Imperial Petroleum 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=IMPP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "IMPP", "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=IMPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();