C3is (CISS) Change in Accured Expenses (2022 - 2025)
C3is' Change in Accured Expenses came in at -$360,894 for FY2025, compared with $637,798 in FY2024.
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Analysis
C3is (CISS) Change in Accured Expenses (2022 - 2025) Analysis & Trends
Going back to FY2021, C3is' Change in Accured Expenses data covers 5 years.
- The FY2025 figure represents the lowest annual Change in Accured Expenses in data going back to FY2021.
- Per Business Quant, earlier years put Change in Accured Expenses at $637,798 in FY2024 (+38.4%), $460,973 in FY2023 (+166.0%), $173,324 in FY2022 (+21.5%) and $142,628 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 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 | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 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 | -5,255.00 |
| Mar 31, 2025 | -43,286.00 |
| Jun 30, 2024 | -6,905.00 |
| Mar 31, 2024 | 251,052.00 |
| Jun 30, 2023 | 32,191.00 |
| Mar 31, 2023 | 76,530.00 |
| Sep 30, 2022 | 11,798.00 |
API Access
C3is Change in Accured 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=change-in-accured-expenses&ticker=CISS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CISS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();