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 | 170.65 Bn | 165.18 Bn | - | 919.00 Mn |
| 2 | Csx | 89.36 Bn | 85.56 Bn | - | 406.00 Mn |
| 3 | United Parcel Service | 84.27 Bn | 61.16 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 77.55 Bn | 76.57 Bn | - | 381.45 Mn |
| 5 | Norfolk Southern | 73.10 Bn | 67.74 Bn | - | 327.00 Mn |
| 6 | Fedex | 71.16 Bn | 37.10 Bn | - | - |
| 7 | Delta Air Lines | 50.32 Bn | 32.51 Bn | - | 2.64 Bn |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.50 Bn | - | - |
| 9 | United Airlines Holdings | 32.03 Bn | -24.34 Bn | - | 1.80 Bn |
| 10 | Imperial Petroleum | 166.98 Mn | 78.96 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 30, 2023 | 7.44 Mn |
| 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();