Catalyst Bancorp (CLST) Provision for Credit Losses (2020 - 2026)
Catalyst Bancorp's Provision for Credit Losses came in at -$261,000 for the quarter ended Sep 30, 2026, compared with -$36,000 a year earlier.
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Analysis
Catalyst Bancorp (CLST) Provision for Credit Losses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Catalyst Bancorp reported Provision for Credit Losses of -$62,000; for the year ended Dec 31, 2025, it was $271,000, down 77.4% from the prior year.
- Provision for Credit Losses carries a five-year compound annual growth rate of -22.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Provision for Credit Losses was $1.2 million in the year ended Dec 31, 2024 (+457.2%), $215,000 in the year ended Dec 31, 2023, -$375,000 in the year ended Dec 31, 2022 and -$660,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Sep 30, 2026 represents the lowest quarterly Provision for Credit Losses since the quarter ended Dec 31, 2021.
- Business Quant data shows CLST's Provision for Credit Losses at -$213,000 (quarter ended Jun 30, 2026), -$105,000 (quarter ended Mar 31, 2026) and $517,000 (quarter ended Dec 31, 2025) in the three quarters before the quarter ended Sep 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Catalyst Bancorp | 69.87 Mn | 69.87 Mn | - | -261,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -261,000.00 |
| Jun 30, 2026 | -213,000.00 |
| Mar 31, 2026 | -105,000.00 |
| Dec 31, 2025 | 517,000.00 |
| Sep 30, 2025 | -36,000.00 |
| Jun 30, 2025 | -176,000.00 |
| Mar 31, 2025 | -64,000.00 |
| Dec 31, 2024 | 110,000.00 |
| Sep 30, 2024 | 337,000.00 |
| Jun 30, 2024 | 99,000.00 |
| Mar 31, 2024 | 137,000.00 |
| Dec 31, 2023 | 514,000.00 |
| Sep 30, 2023 | -53,000.00 |
| Jun 30, 2023 | -251,000.00 |
| Mar 31, 2023 | 5,000.00 |
| Sep 30, 2022 | -115,000.00 |
| Jun 30, 2022 | -189,000.00 |
| Mar 31, 2022 | -71,000.00 |
| Dec 31, 2021 | -374,000.00 |
| Jun 30, 2021 | -286,000.00 |
API Access
Catalyst Bancorp Provision for Credit Losses 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=provision-for-credit-losses&ticker=CLST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=CLST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();