Catalyst Bancorp (CLST) EPS (Diluted) (2021 - 2026)
Catalyst Bancorp (CLST) reported EPS (Diluted) of $0.27 for the quarter ended Sep 30, 2026, up 100.5% from $0.13 a year earlier and up 86.6% from the prior quarter.
Catalyst Bancorp (CLST) EPS (Diluted) (2021 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Catalyst Bancorp's EPS (Diluted) came in at $0.69, up 13.5% year-over-year; for the year ended Dec 31, 2025, it came in at $0.56.
- EPS (Diluted) has a four-year compound annual growth rate of 9.2% (years ended Dec 2021 to Dec 2025).
- By year, EPS (Diluted) came in at -$0.78 in the year ended Dec 31, 2024, $0.12 in the year ended Dec 31, 2023 (+223.5%), $0.04 in the year ended Dec 31, 2022 (-90.6%) and $0.39 in the year ended Dec 31, 2021.
- The figure for the quarter ended Sep 30, 2026 ranks as the highest quarterly EPS (Diluted) in data going back to the quarter ended Dec 31, 2021.
- Year over year, EPS (Diluted) gained in five of the last seven quarters, with growth averaging 32.6%.
- The high point for year-over-year EPS (Diluted) in five years was the quarter ended Sep 30, 2024 (growth of 227.8%); the low point was the quarter ended Dec 31, 2025 (a decline of 21.9%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at $0.14 (quarter ended Jun 30, 2026), $0.15 (quarter ended Mar 31, 2026) and $0.12 (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 5.57 |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 1.50 |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 0.91 |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 2.02 |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 3.03 |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 3.06 |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 17.01 |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.87 |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2.15 |
| 10 | Catalyst Bancorp | 69.87 Mn | 69.87 Mn | - | 0.27 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.27 |
| Jun 30, 2026 | 0.14 |
| Mar 31, 2026 | 0.15 |
| Dec 31, 2025 | 0.12 |
| Sep 30, 2025 | 0.13 |
| Jun 30, 2025 | 0.14 |
| Mar 31, 2025 | 0.16 |
| Dec 31, 2024 | 0.16 |
| Sep 30, 2024 | 0.11 |
| Jun 30, 2024 | 0.13 |
| Mar 31, 2024 | -1.15 |
| Dec 31, 2023 | 0.07 |
| Sep 30, 2023 | 0.03 |
| Jun 30, 2023 | 0.00 |
| Mar 31, 2023 | 0.02 |
| Dec 31, 2022 | 0.04 |
| Sep 30, 2022 | 0.03 |
| Jun 30, 2022 | 0.00 |
| Mar 31, 2022 | -0.03 |
| Dec 31, 2021 | 0.01 |
Catalyst Bancorp 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=CLST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "CLST", "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=CLST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();