C3is (CISS) EPS (Diluted) (2022 - 2026)
C3is (CISS) recorded EPS (Diluted) of $6,366 in Q2 2026, compared with -$91,765 a year earlier and up 134.9% from the prior quarter.
C3is (CISS) EPS (Diluted) (2022 - 2026) Analysis & Trends
On a TTM basis, C3is' EPS (Diluted) came in at $13,338 as of Jun 30, 2026, down 90.0% year-over-year; for FY2025, it was $12,766.
- Annual EPS (Diluted) has a three-year compound annual growth rate of -71.5% (FY2022 to FY2025).
- Across earlier years, EPS (Diluted) came in at -$144,444 in FY2024, $4.61 million in FY2023 (+735.4%) and $551,586 in FY2022.
- Quarterly EPS (Diluted) has ranged from -$5.78 million in Q2 2024 to $2.79 billion in Q4 2023 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.36 |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 0.54 |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 0.83 |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 0.71 |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.26 |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.68 |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.44 |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.68 |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.17 |
| 10 | C3is | 333.84 | -82.07 Mn | -6.67 Bn | 6,366.46 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6,366.46 |
| Mar 31, 2026 | 2,710.23 |
| Dec 31, 2025 | 2,190.84 |
| Sep 30, 2025 | 51,127.93 |
| Jun 30, 2025 | -91,765.48 |
| Mar 31, 2025 | 125,557.00 |
| Dec 31, 2024 | 6,054.80 |
| Sep 30, 2024 | 2.63 Mn |
| Jun 30, 2024 | -5.78 Mn |
| Mar 31, 2024 | 1.99 Mn |
| Dec 31, 2023 | 2.79 Bn |
| Sep 30, 2023 | 3.14 Mn |
| Jun 30, 2023 | -384,063.00 |
| Mar 31, 2023 | 751,353.00 |
| Dec 31, 2022 | 551.59 Mn |
C3is EPS (Diluted) 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=eps-diluted&ticker=CISS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=CISS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();