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MFON vs PGNY
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 MFON is a Hold and PGNY is a StrongBuy.
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).
MFON’s FA Score shows that 1 FA rating(s) are green whilePGNY’s FA Score has 0 green FA rating(s).
- MFON’s FA Score: 1 green, 4 red.
- PGNY’s FA Score: 0 green, 5 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.
MFON’s TA Score shows that 3 TA indicator(s) are bullish while PGNY’s TA Score has 5 bullish TA indicator(s).
- MFON’s TA Score: 3 bullish, 5 bearish.
- PGNY’s TA Score: 5 bullish, 2 bearish.
Price Growth
MFON (@Packaged Software) experienced а -5.68% price change this week, while PGNY (@Publishing: Books/Magazines) price change was +2.26% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was -2.19%. For the same industry, the average monthly price growth was -0.98%, and the average quarterly price growth was +23.41%.
The average weekly price growth across all stocks in the @Publishing: Books/Magazines industry was +3.80%. For the same industry, the average monthly price growth was +13.06%, and the average quarterly price growth was -6.76%.
Reported Earning Dates
MFON is expected to report earnings on Nov 17, 2025.
PGNY is expected to report earnings on Oct 30, 2025.
Industries' Descriptions
@Packaged Software (-2.19% weekly)Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.
@Publishing: Books/Magazines (+3.80% weekly)The industry includes companies that publish and market books and magazines/periodicals. John Wiley & Sons, Inc., Meredith Corporation and Scholastic Corporation are some of the biggest companies in this industry. Like many other industries, publishing companies have branched out into online/digital publications (while retaining their original print business), to capture the burgeoning market in electronic media. Business could be cyclical in certain cases, since weak consumer sentiment during an economic downturn might depress sales of some magazines and books.
| MFON | PGNY | MFON / PGNY | |
| Capitalization | 18M | 2.02B | 1% |
| EBITDA | -7.53M | 80.8M | -9% |
| Gain YTD | -39.519 | 36.464 | -108% |
| P/E Ratio | N/A | 39.89 | - |
| Revenue | 1.36M | 1.24B | 0% |
| Total Cash | 292K | 305M | 0% |
| Total Debt | 16.6M | 25.5M | 65% |
MFON | PGNY | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 69 | 8 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 17 Undervalued | 68 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 100 | 68 | |
PRICE GROWTH RATING 1..100 | 61 | 51 | |
P/E GROWTH RATING 1..100 | 100 | 39 | |
SEASONALITY SCORE 1..100 | n/a | 90 |
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.
MFON's Valuation (17) in the null industry is somewhat better than the same rating for PGNY (68). This means that MFON’s stock grew somewhat faster than PGNY’s over the last 12 months.
MFON's Profit vs Risk Rating (100) in the null industry is in the same range as PGNY (100). This means that MFON’s stock grew similarly to PGNY’s over the last 12 months.
PGNY's SMR Rating (68) in the null industry is in the same range as MFON (100). This means that PGNY’s stock grew similarly to MFON’s over the last 12 months.
PGNY's Price Growth Rating (51) in the null industry is in the same range as MFON (61). This means that PGNY’s stock grew similarly to MFON’s over the last 12 months.
PGNY's P/E Growth Rating (39) in the null industry is somewhat better than the same rating for MFON (100). This means that PGNY’s stock grew somewhat faster than MFON’s over the last 12 months.
| MFON | PGNY | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 69% | N/A |
| Stochastic ODDS (%) | 1 day ago 87% | 1 day ago 81% |
| Momentum ODDS (%) | 1 day ago 61% | 1 day ago 84% |
| MACD ODDS (%) | 1 day ago 71% | 1 day ago 83% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 79% |
| TrendMonth ODDS (%) | 1 day ago 62% | 1 day ago 82% |
| Advances ODDS (%) | 25 days ago 57% | 7 days ago 78% |
| Declines ODDS (%) | 18 days ago 75% | 10 days ago 81% |
| BollingerBands ODDS (%) | N/A | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 87% | N/A |
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MFON and
Correlation & Price change
A.I.dvisor indicates that over the last year, MFON has been loosely correlated with PGNY. These tickers have moved in lockstep 34% of the time. This A.I.-generated data suggests there is some statistical probability that if MFON jumps, then PGNY could also see price increases.
| Ticker / NAME | Correlation To MFON | 1D Price Change % | ||
|---|---|---|---|---|
| MFON | 100% | -1.97% | ||
| PGNY - MFON | 34% Loosely correlated | +0.56% | ||
| ONEI - MFON | 29% Poorly correlated | -3.33% | ||
| TPPM - MFON | 20% Poorly correlated | N/A | ||
| MITI - MFON | 12% Poorly correlated | +3.89% | ||
| LVWD - MFON | 6% Poorly correlated | N/A | ||
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PGNY and
Correlation & Price change
A.I.dvisor indicates that over the last year, PGNY has been loosely correlated with PINC. These tickers have moved in lockstep 36% of the time. This A.I.-generated data suggests there is some statistical probability that if PGNY jumps, then PINC could also see price increases.
| Ticker / NAME | Correlation To PGNY | 1D Price Change % | ||
|---|---|---|---|---|
| PGNY | 100% | +0.56% | ||
| PINC - PGNY | 36% Loosely correlated | -1.16% | ||
| PAYO - PGNY | 34% Loosely correlated | +0.30% | ||
| PAGS - PGNY | 34% Loosely correlated | +0.89% | ||
| MFON - PGNY | 34% Loosely correlated | -1.97% | ||
| MYPS - PGNY | 34% Loosely correlated | -1.99% | ||
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