Imperial Petroleum (IMPP) Inventory (2020 - 2026)
Imperial Petroleum (IMPP) posted Inventory of $10.42 million for the quarter ended Jun 30, 2026, up 74.1% from $5.99 million a year earlier and up 5.6% from the prior quarter.
Imperial Petroleum (IMPP) Inventory (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Imperial Petroleum's Inventory came in at $4.72 million, down 35.4% from the prior year.
- Annual Inventory shows a five-year compound annual growth rate of 41.4% (years ended Dec 2020 to Dec 2025).
- In prior years, Imperial Petroleum's Inventory was $7.31 million in the year ended Dec 31, 2024 (+0.2%), $7.29 million in the year ended Dec 31, 2023 (+32.4%), $5.51 million in the year ended Dec 31, 2022 and $258,846 in the year ended Dec 31, 2021 (-69.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Inventory in data going back to the quarter ended Dec 31, 2020.
- On a year-over-year basis, Inventory increased in four of the last eight quarters, with growth averaging 3.0%.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Mar 31, 2023, with growth of 497.8%; the weakest was the quarter ended Jun 21, 2023, with a decline of 97.5%.
- According to Business Quant data, Inventory for the three prior quarters was $9.87 million (quarter ended Mar 31, 2026), $4.72 million (quarter ended Dec 31, 2025) and $6.77 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 919.00 Mn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 406.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 391.83 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 327.00 Mn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.56 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 5.35 Mn |
| 10 | Imperial Petroleum | 172.15 Mn | -564.05 Mn | 66.01 Mn | 10.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.42 Mn |
| Mar 31, 2026 | 9.87 Mn |
| Dec 31, 2025 | 4.72 Mn |
| Sep 30, 2025 | 6.77 Mn |
| Jun 30, 2025 | 5.99 Mn |
| Mar 31, 2025 | 6.71 Mn |
| Dec 31, 2024 | 7.31 Mn |
| Sep 30, 2024 | 6.69 Mn |
| Jun 30, 2024 | 8.71 Mn |
| Mar 31, 2024 | 7.87 Mn |
| Dec 31, 2023 | 7.29 Mn |
| Sep 30, 2023 | 8.07 Mn |
| Jun 21, 2023 | 124,813.00 |
| Mar 31, 2023 | 7.94 Mn |
| Dec 31, 2022 | 5.51 Mn |
| Sep 30, 2022 | 7.14 Mn |
| Jun 30, 2022 | 4.94 Mn |
| Mar 31, 2022 | 1.33 Mn |
| Dec 31, 2021 | 258,846.00 |
| Sep 30, 2021 | 1.25 Mn |
Imperial Petroleum Inventory 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=inventory&ticker=IMPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=IMPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();