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KINS vs L
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 KINS is a Hold and L 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).
KINS’s FA Score shows that 1 FA rating(s) are green whileL’s FA Score has 3 green FA rating(s).
- KINS’s FA Score: 1 green, 4 red.
- L’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.
KINS’s TA Score shows that 4 TA indicator(s) are bullish while L’s TA Score has 4 bullish TA indicator(s).
- KINS’s TA Score: 4 bullish, 3 bearish.
- L’s TA Score: 4 bullish, 5 bearish.
Price Growth
KINS (@Property/Casualty Insurance) experienced а -0.69% price change this week, while L (@Property/Casualty Insurance) price change was +2.72% for the same time period.
The average weekly price growth across all stocks in the @Property/Casualty Insurance industry was +0.85%. For the same industry, the average monthly price growth was +1.17%, and the average quarterly price growth was +6.67%.
Reported Earning Dates
KINS is expected to report earnings on Mar 12, 2026.
L is expected to report earnings on Feb 09, 2026.
Industries' Descriptions
@Property/Casualty Insurance (+0.85% weekly)Property and casualty companies insure against accidents of non-physical harm, such as lawsuits, damage to personal assets, car crashes and more. Progressive Corporation, Travelers Companies, Inc. and Allstate Corporation are some of the biggest providers of such products.
| KINS | L | KINS / L | |
| Capitalization | 207M | 21.6B | 1% |
| EBITDA | N/A | N/A | - |
| Gain YTD | -2.782 | 23.519 | -12% |
| P/E Ratio | 6.51 | 15.13 | 43% |
| Revenue | 186M | 17.8B | 1% |
| Total Cash | N/A | 6.51B | - |
| Total Debt | 5.06M | 8.95B | 0% |
KINS | L | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 9 | 23 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 60 Fair valued | 73 Overvalued | |
PROFIT vs RISK RATING 1..100 | 43 | 5 | |
SMR RATING 1..100 | 23 | 97 | |
PRICE GROWTH RATING 1..100 | 53 | 28 | |
P/E GROWTH RATING 1..100 | 98 | 15 | |
SEASONALITY SCORE 1..100 | n/a | n/a |
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.
KINS's Valuation (60) in the Financial Conglomerates industry is in the same range as L (73) in the Property Or Casualty Insurance industry. This means that KINS’s stock grew similarly to L’s over the last 12 months.
L's Profit vs Risk Rating (5) in the Property Or Casualty Insurance industry is somewhat better than the same rating for KINS (43) in the Financial Conglomerates industry. This means that L’s stock grew somewhat faster than KINS’s over the last 12 months.
KINS's SMR Rating (23) in the Financial Conglomerates industry is significantly better than the same rating for L (97) in the Property Or Casualty Insurance industry. This means that KINS’s stock grew significantly faster than L’s over the last 12 months.
L's Price Growth Rating (28) in the Property Or Casualty Insurance industry is in the same range as KINS (53) in the Financial Conglomerates industry. This means that L’s stock grew similarly to KINS’s over the last 12 months.
L's P/E Growth Rating (15) in the Property Or Casualty Insurance industry is significantly better than the same rating for KINS (98) in the Financial Conglomerates industry. This means that L’s stock grew significantly faster than KINS’s over the last 12 months.
| KINS | L | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 46% |
| Stochastic ODDS (%) | 2 days ago 80% | 2 days ago 39% |
| Momentum ODDS (%) | 2 days ago 84% | 2 days ago 64% |
| MACD ODDS (%) | 2 days ago 78% | 2 days ago 57% |
| TrendWeek ODDS (%) | 2 days ago 75% | 2 days ago 52% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 55% |
| Advances ODDS (%) | 5 days ago 76% | 2 days ago 50% |
| Declines ODDS (%) | 18 days ago 77% | 30 days ago 35% |
| BollingerBands ODDS (%) | 2 days ago 80% | 2 days ago 40% |
| Aroon ODDS (%) | 2 days ago 83% | 2 days ago 35% |
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KINS and
Correlation & Price change
A.I.dvisor indicates that over the last year, KINS has been loosely correlated with SKWD. These tickers have moved in lockstep 39% of the time. This A.I.-generated data suggests there is some statistical probability that if KINS jumps, then SKWD could also see price increases.
| Ticker / NAME | Correlation To KINS | 1D Price Change % | ||
|---|---|---|---|---|
| KINS | 100% | -2.52% | ||
| SKWD - KINS | 39% Loosely correlated | -1.36% | ||
| UFCS - KINS | 37% Loosely correlated | -1.03% | ||
| PLMR - KINS | 36% Loosely correlated | -1.80% | ||
| L - KINS | 35% Loosely correlated | +0.34% | ||
| CINF - KINS | 34% Loosely correlated | -0.53% | ||
More | ||||
L and
Correlation & Price change
A.I.dvisor indicates that over the last year, L has been closely correlated with HIG. These tickers have moved in lockstep 87% of the time. This A.I.-generated data suggests there is a high statistical probability that if L jumps, then HIG could also see price increases.