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AGO vs FNF
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 AGO is a Buy and FNF is a Buy.
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).
AGO’s FA Score shows that 2 FA rating(s) are green whileFNF’s FA Score has 2 green FA rating(s).
- AGO’s FA Score: 2 green, 3 red.
- FNF’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.
AGO’s TA Score shows that 4 TA indicator(s) are bullish while FNF’s TA Score has 4 bullish TA indicator(s).
- AGO’s TA Score: 4 bullish, 5 bearish.
- FNF’s TA Score: 4 bullish, 3 bearish.
Price Growth
AGO (@Specialty Insurance) experienced а -1.30% price change this week, while FNF (@Specialty Insurance) price change was -1.65% for the same time period.
The average weekly price growth across all stocks in the @Specialty Insurance industry was +0.56%. For the same industry, the average monthly price growth was +2.76%, and the average quarterly price growth was +3.35%.
Reported Earning Dates
AGO is expected to report earnings on Feb 26, 2026.
FNF is expected to report earnings on Feb 25, 2026.
Industries' Descriptions
@Specialty Insurance (+0.56% weekly)Specialty insurance typically caters to niche-markets, and covers items that are special or unique and/or items that are not typically covered under other insurance policies. Restoration or purchase of a one-of-a-kind collector’s item, high-value home, recreational vehicles, sailboat or even jet skis, horses and farms, all-terrain vehicle, funerals, museums and fine art collections are some examples– one or more of which are covered by a specialty insurance provider. In some cases, a specialty insurance could also complement someone’s existing auto, home and umbrella policies. Markel Corp, for Fidelity National Financial, Inc., Assurant, Inc. and Athene Holding Ltd. are examples of specialty insurance providers.
| AGO | FNF | AGO / FNF | |
| Capitalization | 4.19B | 14.9B | 28% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 2.166 | 4.185 | 52% |
| P/E Ratio | 11.13 | 12.88 | 86% |
| Revenue | 964M | 13.7B | 7% |
| Total Cash | 2.49B | N/A | - |
| Total Debt | 1.7B | 4.77B | 36% |
AGO | FNF | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 7 | 69 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 76 Overvalued | 28 Undervalued | |
PROFIT vs RISK RATING 1..100 | 10 | 28 | |
SMR RATING 1..100 | 91 | 95 | |
PRICE GROWTH RATING 1..100 | 52 | 59 | |
P/E GROWTH RATING 1..100 | 13 | 89 | |
SEASONALITY SCORE 1..100 | n/a | 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.
FNF's Valuation (28) in the Specialty Insurance industry is somewhat better than the same rating for AGO (76) in the Finance Or Rental Or Leasing industry. This means that FNF’s stock grew somewhat faster than AGO’s over the last 12 months.
AGO's Profit vs Risk Rating (10) in the Finance Or Rental Or Leasing industry is in the same range as FNF (28) in the Specialty Insurance industry. This means that AGO’s stock grew similarly to FNF’s over the last 12 months.
AGO's SMR Rating (91) in the Finance Or Rental Or Leasing industry is in the same range as FNF (95) in the Specialty Insurance industry. This means that AGO’s stock grew similarly to FNF’s over the last 12 months.
AGO's Price Growth Rating (52) in the Finance Or Rental Or Leasing industry is in the same range as FNF (59) in the Specialty Insurance industry. This means that AGO’s stock grew similarly to FNF’s over the last 12 months.
AGO's P/E Growth Rating (13) in the Finance Or Rental Or Leasing industry is significantly better than the same rating for FNF (89) in the Specialty Insurance industry. This means that AGO’s stock grew significantly faster than FNF’s over the last 12 months.
| AGO | FNF | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 45% | N/A |
| Stochastic ODDS (%) | 3 days ago 57% | 3 days ago 72% |
| Momentum ODDS (%) | 3 days ago 65% | 3 days ago 72% |
| MACD ODDS (%) | 3 days ago 40% | 3 days ago 54% |
| TrendWeek ODDS (%) | 3 days ago 50% | 3 days ago 51% |
| TrendMonth ODDS (%) | 3 days ago 60% | 3 days ago 52% |
| Advances ODDS (%) | 9 days ago 67% | 9 days ago 68% |
| Declines ODDS (%) | 3 days ago 53% | 4 days ago 52% |
| BollingerBands ODDS (%) | 3 days ago 55% | N/A |
| Aroon ODDS (%) | 3 days ago 61% | N/A |
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AGO and
Correlation & Price change
A.I.dvisor indicates that over the last year, AGO has been closely correlated with AXS. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if AGO jumps, then AXS could also see price increases.
FNF and
Correlation & Price change
A.I.dvisor indicates that over the last year, FNF has been closely correlated with FAF. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if FNF jumps, then FAF could also see price increases.