C3is (CISS) Retained Earnings (2021 - 2026)
C3is (CISS) reported Retained Earnings of $12.17 million for Q2 2026, compared with $650,360 a year earlier and up 202.5% from the prior quarter.
Analysis
C3is (CISS) Retained Earnings (2021 - 2026) Analysis & Trends
At the end of FY2025, C3is posted Retained Earnings of $4.49 million.
- Retained Earnings has a four-year compound annual growth rate of 5.6% (FY2021 to FY2025).
- By year, Retained Earnings came in at $257,052 in FY2024 (-96.9%), $8.35 million in FY2023 and $3.61 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.77 Bn | 166.29 Bn | - | 71.58 Bn |
| 2 | Csx | 89.62 Bn | 85.83 Bn | - | 11.35 Bn |
| 3 | United Parcel Service | 84.59 Bn | 61.48 Bn | - | 18.83 Bn |
| 4 | Canadian Pacific Kansas City | 78.25 Bn | 77.27 Bn | - | 13.88 Bn |
| 5 | Norfolk Southern | 73.49 Bn | 68.14 Bn | - | 13.91 Bn |
| 6 | Fedex | 70.97 Bn | 36.92 Bn | - | 44.46 Bn |
| 7 | Delta Air Lines | 51.41 Bn | 33.60 Bn | - | 14.88 Bn |
| 8 | Old Dominion Freight Line | 39.34 Bn | 38.60 Bn | - | 4.29 Bn |
| 9 | United Airlines Holdings | 33.40 Bn | -22.97 Bn | - | 11.54 Bn |
| 10 | C3is | 189.23 | -5.05 Mn | -6.67 Bn | 12.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.17 Mn |
| Mar 31, 2026 | 4.02 Mn |
| Dec 31, 2025 | 4.49 Mn |
| Sep 30, 2025 | 3.13 Mn |
| Jun 30, 2025 | 650,360.00 |
| Mar 31, 2025 | 7.52 Mn |
| Dec 31, 2024 | 257,052.00 |
| Sep 30, 2024 | 2.02 Mn |
| Jun 30, 2024 | -2.87 Mn |
| Mar 31, 2024 | 9.08 Mn |
| Dec 31, 2023 | 8.35 Mn |
| Sep 30, 2023 | 3.14 Mn |
| Jun 30, 2023 | -2,566.00 |
| Jun 30, 2022 | 6.80 Mn |
| Dec 31, 2021 | 3.61 Mn |
API Access
C3is Retained Earnings 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=retained-earnings&ticker=CISS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CISS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();