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NNI vs OMF
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 NNI is a Hold and OMF is a Hold.
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 undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
NNI’s FA Score shows that 2 FA rating(s) are green whileOMF’s FA Score has 3 green FA rating(s).
- NNI’s FA Score: 2 green, 3 red.
- OMF’s FA Score: 3 green, 2 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.
NNI’s TA Score shows that 4 TA indicator(s) are bullish while OMF’s TA Score has 6 bullish TA indicator(s).
- NNI’s TA Score: 4 bullish, 4 bearish.
- OMF’s TA Score: 6 bullish, 4 bearish.
Price Growth
NNI (@Savings Banks) experienced а -3.20% price change this week, while OMF (@Savings Banks) price change was -4.16% for the same time period.
The average weekly price growth across all stocks in the @Savings Banks industry was -3.30%. For the same industry, the average monthly price growth was -5.49%, and the average quarterly price growth was +10.99%.
Reported Earning Dates
NNI is expected to report earnings on Mar 03, 2026.
OMF is expected to report earnings on Jan 29, 2026.
Industries' Descriptions
@Savings Banks (-3.30% weekly)A savings bank primary function is to take deposits and paying interest on those deposits. Originating in Europe during the 18th century, these banks were generally introduced to incentivize people of all stripes to save money and park them with banks. By the 1990s, the internet ushered in online savings banks that allowed savers to deposit/transact with banks digitally, without requiring to visit a branch office. Savings banks have potentially encouraged lower-income population to save and have access to a financial institution to earn interest on their money. New York Community Bancorp, Inc, Webster Financial Corporation, Washington Federal, Inc. are examples of savings banks.
| NNI | OMF | NNI / OMF | |
| Capitalization | 4.48B | 6.75B | 66% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 17.656 | 18.602 | 95% |
| P/E Ratio | 10.48 | 9.72 | 108% |
| Revenue | 1.39B | 4.87B | 28% |
| Total Cash | N/A | N/A | - |
| Total Debt | 7.9B | 22.3B | 35% |
NNI | OMF | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 67 | 12 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 49 Fair valued | 15 Undervalued | |
PROFIT vs RISK RATING 1..100 | 13 | 25 | |
SMR RATING 1..100 | 21 | 8 | |
PRICE GROWTH RATING 1..100 | 54 | 48 | |
P/E GROWTH RATING 1..100 | 98 | 68 | |
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.
OMF's Valuation (15) in the Finance Or Rental Or Leasing industry is somewhat better than the same rating for NNI (49). This means that OMF’s stock grew somewhat faster than NNI’s over the last 12 months.
NNI's Profit vs Risk Rating (13) in the Finance Or Rental Or Leasing industry is in the same range as OMF (25). This means that NNI’s stock grew similarly to OMF’s over the last 12 months.
OMF's SMR Rating (8) in the Finance Or Rental Or Leasing industry is in the same range as NNI (21). This means that OMF’s stock grew similarly to NNI’s over the last 12 months.
OMF's Price Growth Rating (48) in the Finance Or Rental Or Leasing industry is in the same range as NNI (54). This means that OMF’s stock grew similarly to NNI’s over the last 12 months.
OMF's P/E Growth Rating (68) in the Finance Or Rental Or Leasing industry is in the same range as NNI (98). This means that OMF’s stock grew similarly to NNI’s over the last 12 months.
| NNI | OMF | |
|---|---|---|
| RSI ODDS (%) | N/A | 7 days ago 80% |
| Stochastic ODDS (%) | 2 days ago 68% | 2 days ago 70% |
| Momentum ODDS (%) | 2 days ago 40% | 2 days ago 69% |
| MACD ODDS (%) | 2 days ago 40% | 2 days ago 77% |
| TrendWeek ODDS (%) | 2 days ago 40% | 2 days ago 66% |
| TrendMonth ODDS (%) | 2 days ago 37% | 2 days ago 65% |
| Advances ODDS (%) | 7 days ago 54% | 10 days ago 65% |
| Declines ODDS (%) | 2 days ago 37% | 3 days ago 68% |
| BollingerBands ODDS (%) | 2 days ago 62% | 2 days ago 78% |
| Aroon ODDS (%) | 2 days ago 47% | 2 days ago 64% |
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NNI and
Correlation & Price change
A.I.dvisor indicates that over the last year, NNI has been loosely correlated with AGM. These tickers have moved in lockstep 64% of the time. This A.I.-generated data suggests there is some statistical probability that if NNI jumps, then AGM could also see price increases.
| Ticker / NAME | Correlation To NNI | 1D Price Change % | ||
|---|---|---|---|---|
| NNI | 100% | -0.27% | ||
| AGM - NNI | 64% Loosely correlated | -0.47% | ||
| AXP - NNI | 64% Loosely correlated | -0.17% | ||
| NAVI - NNI | 61% Loosely correlated | +0.97% | ||
| OMF - NNI | 60% Loosely correlated | +0.44% | ||
| ALLY - NNI | 60% Loosely correlated | -0.16% | ||
More | ||||
OMF and
Correlation & Price change
A.I.dvisor indicates that over the last year, OMF has been closely correlated with SYF. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if OMF jumps, then SYF could also see price increases.