ConnectOne Bancorp (CNOB) Provisions (2010 - 2026)
ConnectOne Bancorp (CNOB) posted Provisions of $8.3 million for Q2 2026, down 76.8% from $35.7 million a year earlier but up 47.8% from the prior quarter.
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Analysis
ConnectOne Bancorp (CNOB) Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provisions at ConnectOne Bancorp was $21.72 million, down 53.3% year-over-year; for FY2025, it was $47 million, up 236.1% from FY2024.
- Annual Provisions shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior years, ConnectOne Bancorp's Provisions was $13.98 million in FY2024 (+66.0%), $8.42 million in FY2023 (-52.5%), $17.75 million in FY2022 and -$5.5 million in FY2021.
- Quarterly Provisions has run from a low of $815,000 in Q4 2021 to a high of $35.7 million in Q2 2025 over five years.
- On a year-over-year basis, Provisions increased in four of the last seven quarters, with growth averaging 23.5%.
- The strongest year-over-year quarter for Provisions in the past five years was Q3 2022, with growth of 809.1%; the weakest was Q3 2023, with a decline of 85.0%.
- According to Business Quant data, Provisions for the three prior quarters was $5.62 million (Q1 2026), $2.3 million (Q4 2025) and $5.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 914.00 Mn |
| 10 | ConnectOne Bancorp | 1.63 Bn | 1.63 Bn | - | 8.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.30 Mn |
| Mar 31, 2026 | 5.62 Mn |
| Dec 31, 2025 | 2.30 Mn |
| Sep 30, 2025 | 5.50 Mn |
| Jun 30, 2025 | 35.70 Mn |
| Mar 31, 2025 | 3.50 Mn |
| Dec 31, 2024 | 3.50 Mn |
| Sep 30, 2024 | 3.80 Mn |
| Jun 30, 2024 | 2.50 Mn |
| Mar 31, 2024 | 4.00 Mn |
| Dec 31, 2023 | 2.70 Mn |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 3.30 Mn |
| Sep 30, 2022 | 10.00 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | 1.45 Mn |
| Dec 31, 2021 | 815,000.00 |
| Sep 30, 2021 | 1.10 Mn |
API Access
ConnectOne Bancorp Provisions 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=provisions&ticker=CNOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "ticker": "CNOB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=provisions&ticker=CNOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();