C3is (CISS) Depreciation and Depletion (2022 - 2025)
C3is (CISS) recorded Depreciation and Depletion of $6.5 million in FY2025, up 5.2% from $6.18 million in FY2024.
Analysis
C3is (CISS) Depreciation and Depletion (2022 - 2025) Analysis & Trends
Starting with FY2021, C3is' Depreciation and Depletion history includes 5 years.
- Annual Depreciation and Depletion has increased for four straight years, with a four-year compound annual growth rate of 95.9% (FY2021 to FY2025).
- The FY2025 figure is the highest annual Depreciation and Depletion in data going back to FY2021.
- Per Business Quant data, CISS's Depreciation and Depletion was $6.18 million in FY2024 (+50.5%), $4.1 million in FY2023 (+635.6%), $557,974 in FY2022 (+26.3%) and $441,749 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 638.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 358.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | C3is | 266.43 | -82.07 Mn | -6.67 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1.63 Mn |
| Mar 31, 2025 | 1.63 Mn |
| Jun 30, 2024 | 1.54 Mn |
| Mar 31, 2024 | 1.38 Mn |
| Jun 30, 2023 | 670,064.00 |
| Mar 31, 2023 | 670,064.00 |
| Sep 30, 2022 | 33,379.00 |
API Access
C3is Depreciation and Depletion 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=depreciation-and-depletion&ticker=CISS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "CISS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=CISS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();