C3is (CISS) Other Accumulated Expenses (2023 - 2026)
C3is (CISS) reported Other Accumulated Expenses of $24.47 million for Q2 2026, up 725.6% from $2.96 million a year earlier.
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Analysis
C3is (CISS) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, C3is posted Other Accumulated Expenses of $381,779, down 97.7% from FY2024.
- By year, Other Accumulated Expenses came in at $16.32 million in FY2024 (-57.6%) and $38.53 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Other Accumulated Expenses since Q2 2024.
- Year over year, Other Accumulated Expenses gained in 1 of the last seven quarters, with growth averaging 37.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 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 | - |
| 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, 2026 | 24.47 Mn |
| Mar 31, 2026 | 789,504.00 |
| Dec 31, 2025 | 381,779.00 |
| Sep 30, 2025 | 4.35 Mn |
| Jun 30, 2025 | 2.96 Mn |
| Mar 31, 2025 | 17.65 Mn |
| Dec 31, 2024 | 16.32 Mn |
| Sep 30, 2024 | 14.55 Mn |
| Jun 30, 2024 | 54.73 Mn |
| Mar 31, 2024 | 39.53 Mn |
| Dec 31, 2023 | 38.53 Mn |
| Sep 30, 2023 | 39.10 Mn |
API Access
C3is Other 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=other-accumulated-expenses&ticker=CISS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=CISS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();