C3is (CISS) Interest Expenses (2021 - 2026)
C3is' Interest Expenses came in at -$2,064 for Q2 2026, compared with -$2,229 a year earlier.
Analysis
C3is (CISS) Interest Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, C3is reported Interest Expenses of -$9,989; for FY2025, it came in at -$8,397.
- Going back by year, Interest Expenses was -$13,105 in FY2024, -$4,471 in FY2023, -$116.00 in FY2022 and $45,623 in FY2021.
- The five-year range for quarterly Interest Expenses is -$3.18 million (Q4 2023) to -$305.00 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 313.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 211.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 272.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 197.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 76,000.00 |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -17.32 Mn |
| 10 | C3is | 282.48 | -82.07 Mn | -6.67 Bn | -2,064.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,064.00 |
| Mar 31, 2026 | -1,852.00 |
| Dec 31, 2025 | -1,881.00 |
| Sep 30, 2025 | -2,324.00 |
| Jun 30, 2025 | -2,229.00 |
| Mar 31, 2025 | -1,963.00 |
| Dec 31, 2024 | -1,875.00 |
| Sep 30, 2024 | -2,638.00 |
| Jun 30, 2024 | -6,663.00 |
| Mar 31, 2024 | -1,929.00 |
| Dec 31, 2023 | -3.18 Mn |
| Sep 30, 2023 | -562.00 |
| Jun 30, 2023 | -424.00 |
| Mar 31, 2023 | -305.00 |
| Dec 31, 2022 | -116,000.00 |
| Jun 30, 2022 | -59,716.00 |
| Mar 31, 2022 | -48,748.00 |
| Dec 31, 2021 | -45,623.00 |
API Access
C3is Interest 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=interest-expenses&ticker=CISS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=CISS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();