C3is (CISS) Operating Expenses (2022 - 2026)
C3is' Operating Expenses came in at $3.18 million for Q2 2026, up 34.8% from $2.36 million a year earlier and up 29.1% from the prior quarter.
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Analysis
C3is (CISS) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, C3is reported Operating Expenses of $12.24 million, up 36.0% year-over-year; for FY2025, it was $33.39 million, up 3.6% from FY2024.
- Operating Expenses has increased in each of the last three years.
- Going back by year, Operating Expenses was $32.23 million in FY2024 (+76.0%), $18.31 million in FY2023 (+569.5%), $2.74 million in FY2022 and -$2.62 million in FY2021.
- The five-year range for quarterly Operating Expenses is -$1.53 million (Q4 2021) to $1.44 billion (Q4 2023).
- Year-over-year, Operating Expenses increased in five of the last seven quarters, with growth averaging 5.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2024 (growth of 136.3%), and the weakest in Q4 2024 (a decline of 99.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 4.10 Bn |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | 16.58 Bn |
| 10 | C3is | 173.98 | -5.05 Mn | -6.67 Bn | 14.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.32 Mn |
| Mar 31, 2026 | 6.31 Mn |
| Dec 31, 2025 | 7.95 Mn |
| Sep 30, 2025 | 8.32 Mn |
| Jun 30, 2025 | 9.68 Mn |
| Mar 31, 2025 | 7.44 Mn |
| Dec 31, 2024 | 8.29 Mn |
| Sep 30, 2024 | 8.87 Mn |
| Jun 30, 2024 | 7.42 Mn |
| Mar 31, 2024 | 7.65 Mn |
| Dec 31, 2023 | 7.69 Bn |
| Sep 30, 2023 | 6.16 Mn |
| Jun 30, 2023 | 2.07 Mn |
| Mar 31, 2023 | 2.40 Mn |
| Dec 31, 2022 | 2.55 Bn |
| Sep 30, 2022 | 182.67 Mn |
| Jun 30, 2022 | 4.86 Mn |
| Mar 31, 2022 | -1.45 Mn |
API Access
C3is Operating 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=operating-expenses&ticker=CISS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CISS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();