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CCNE vs SPFI
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is CCNE is a StrongBuy and SPFI is a StrongBuy.
| CCNE | SPFI | CCNE / SPFI | |
| Capitalization | 1.02B | 843M | 121% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 34.187 | 16.762 | 204% |
| P/E Ratio | 10.84 | 12.16 | 89% |
| Revenue | 329M | 220M | 150% |
| Total Cash | 86.6M | 45.9M | 189% |
| Total Debt | 262M | 60.5M | 433% |
CCNE | SPFI | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 23 | 12 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 85 Overvalued | 59 Fair valued | |
PROFIT vs RISK RATING 1..100 | 37 | 21 | |
SMR RATING 1..100 | 22 | 31 | |
PRICE GROWTH RATING 1..100 | 42 | 48 | |
P/E GROWTH RATING 1..100 | 40 | 44 | |
SEASONALITY SCORE 1..100 | 50 | 50 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
SPFI's Valuation (59) in the Financial Conglomerates industry is in the same range as CCNE (85) in the Regional Banks industry. This means that SPFI’s stock grew similarly to CCNE’s over the last 12 months.
SPFI's Profit vs Risk Rating (21) in the Financial Conglomerates industry is in the same range as CCNE (37) in the Regional Banks industry. This means that SPFI’s stock grew similarly to CCNE’s over the last 12 months.
CCNE's SMR Rating (22) in the Regional Banks industry is in the same range as SPFI (31) in the Financial Conglomerates industry. This means that CCNE’s stock grew similarly to SPFI’s over the last 12 months.
CCNE's Price Growth Rating (42) in the Regional Banks industry is in the same range as SPFI (48) in the Financial Conglomerates industry. This means that CCNE’s stock grew similarly to SPFI’s over the last 12 months.
CCNE's P/E Growth Rating (40) in the Regional Banks industry is in the same range as SPFI (44) in the Financial Conglomerates industry. This means that CCNE’s stock grew similarly to SPFI’s over the last 12 months.
| CCNE | SPFI | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 58% | 2 days ago 58% |
| Momentum ODDS (%) | 2 days ago 72% | 2 days ago 67% |
| MACD ODDS (%) | 2 days ago 68% | 2 days ago 67% |
| TrendWeek ODDS (%) | 2 days ago 60% | 2 days ago 66% |
| TrendMonth ODDS (%) | 2 days ago 58% | 2 days ago 64% |
| Advances ODDS (%) | 2 days ago 61% | 9 days ago 58% |
| Declines ODDS (%) | 4 days ago 57% | 3 days ago 61% |
| BollingerBands ODDS (%) | 2 days ago 69% | 2 days ago 71% |
| Aroon ODDS (%) | 2 days ago 52% | N/A |
Long-Term Analysis
It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
CCNE’s FA Score shows that 1 FA rating(s) are green while SPFI’s FA Score has 2 green FA rating(s).
- CCNE’s FA Score: 1 green, 4 red.
- SPFI’s FA Score: 2 green, 3 red.
Short-Term Analysis
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
CCNE’s TA Score shows that 5 TA indicator(s) are bullish while SPFI’s TA Score has 5 bullish TA indicator(s).
- CCNE’s TA Score: 5 bullish, 4 bearish.
- SPFI’s TA Score: 5 bullish, 3 bearish.
Price Growth
CCNE (@Regional Banks) experienced а -1.23% price change this week, while SPFI (@Regional Banks) price change was -1.91% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -0.96%. For the same industry, the average monthly price growth was -1.25%, and the average quarterly price growth was +19.22%.
Reported Earning Dates
CCNE is expected to report earnings on Oct 26, 2026.
SPFI is expected to report earnings on Oct 27, 2026.
Industries' Descriptions
@Regional Banks (-0.96% weekly)Regional banks have a smaller reach than major banks, and cater mostly to one region of a country, such as a state or within a group of states. They offer services often similar – albeit with some limitations/smaller scale – compared to major banks. Taking deposits, making loans, mortgages, leases, credit cards , fund management, insurance and investment banking. SunTrust Banks, State Street Corp., M&T Bank Corp. are some examples of U.S. regional banks.
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CCNE and
Correlation & Price change
A.I.dvisor indicates that over the last year, CCNE has been closely correlated with FMBH. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if CCNE jumps, then FMBH could also see price increases.
| Ticker / NAME | Correlation To CCNE | 1D Price Change % | ||
|---|---|---|---|---|
| CCNE | 100% | +0.03% | ||
| FMBH - CCNE | 85% Closely correlated | +0.33% | ||
| SHBI - CCNE | 85% Closely correlated | +0.17% | ||
| UVSP - CCNE | 84% Closely correlated | +0.23% | ||
| FRME - CCNE | 84% Closely correlated | +0.02% | ||
| MBWM - CCNE | 83% Closely correlated | +0.72% | ||
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SPFI and
Correlation & Price change
A.I.dvisor indicates that over the last year, SPFI has been closely correlated with BHB. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPFI jumps, then BHB could also see price increases.
| Ticker / NAME | Correlation To SPFI | 1D Price Change % | ||
|---|---|---|---|---|
| SPFI | 100% | +0.27% | ||
| BHB - SPFI | 74% Closely correlated | +0.40% | ||
| UVSP - SPFI | 73% Closely correlated | +0.23% | ||
| FMBH - SPFI | 73% Closely correlated | +0.33% | ||
| CCNE - SPFI | 72% Closely correlated | +0.03% | ||
| SRCE - SPFI | 72% Closely correlated | +0.54% | ||
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