Marsh & McLennan Companies, Inc. (MRSH) and Willis Towers Watson (WTW) represent two prominent players in the insurance brokerage and professional services space. This comparison examines their business models, recent stock behavior, and relative market positioning to assist traders and investors evaluating exposure within the financial services sector. The analysis is particularly relevant for those monitoring stable, dividend-oriented equities amid shifting macroeconomic conditions.
Marsh & McLennan Companies, Inc. provides risk management, insurance brokerage, and consulting services globally. In recent market activity, MRSH has maintained relatively stable trading patterns supported by steady client demand for risk advisory amid ongoing economic uncertainty. Broader sector tailwinds, including corporate focus on resilience planning, have contributed to consistent sentiment. Performance in recent weeks reflects measured movements aligned with peers in financial services, without pronounced catalysts driving outsized gains or losses.
Willis Towers Watson delivers risk management, insurance brokerage, and human capital consulting services worldwide. WTW has exhibited comparable stability in recent market activity, with price behavior influenced by sustained interest in employee benefits and talent solutions. Recent weeks have seen performance tracking sector norms, supported by recurring revenue streams from long-term client relationships. Sentiment remains neutral to positive, reflecting the defensive qualities of its diversified offerings in a variable economic backdrop.
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In business model terms, MRSH emphasizes large-scale risk and insurance placement, while WTW balances this with deeper human resources and retirement consulting capabilities, creating distinct yet complementary growth drivers. Recent momentum has been broadly similar, with both exhibiting resilience tied to recurring service fees rather than cyclical product sales. Risk factors converge around regulatory scrutiny in insurance markets and exposure to corporate budget cycles, though WTW may face additional variables from benefits-related legislation. Sector exposure is nearly identical within financial services, yet market sentiment differentiates slightly based on scale advantages for MRSH versus specialized consulting depth at WTW. Trade-offs center on diversification versus specialization in client offerings.
Based on observable factors such as trend consistency and relative stability in recent market activity, Tickeron’s AI would currently assign a modest probabilistic edge to MRSH due to its larger operational footprint and consistent positioning within the sector. However, outcomes remain contingent on broader market dynamics, with neither stock demonstrating clear superiority in all metrics examined.
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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).
MRSH’s FA Score shows that 0 FA rating(s) are green whileWTW’s FA Score has 1 green FA rating(s).
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.
MRSH’s TA Score shows that 6 TA indicator(s) are bullish while WTW’s TA Score has 6 bullish TA indicator(s).
MRSH (@Insurance Brokers/Services) experienced а +4.95% price change this week, while WTW (@Insurance Brokers/Services) price change was +13.83% for the same time period.
The average weekly price growth across all stocks in the @Insurance Brokers/Services industry was +0.90%. For the same industry, the average monthly price growth was -5.14%, and the average quarterly price growth was -13.29%.
MRSH is expected to report earnings on Oct 15, 2026.
WTW is expected to report earnings on Oct 22, 2026.
Insurance brokers sell, solicit, or negotiate insurance for compensation. General insurance brokers mostly cater to insurances on car, house etc. (versus life). Brokers are also often instrumental in helping small employers find health insurance, particularly in more competitive markets. Additionally, brokers may also provide risk assessments, insurance consulting services, insurance-related regulatory and legislative update services. Some of the major names in this industry include Marsh & McLennan Companies, Inc., Aon plc and Verisk Analytics Inc.
| MRSH | WTW | MRSH / WTW | |
| Capitalization | 90.5B | 31.2B | 290% |
| EBITDA | 7.22B | 2.72B | 266% |
| Gain YTD | 3.880 | 2.940 | 132% |
| P/E Ratio | 23.16 | 20.80 | 111% |
| Revenue | 27.9B | 10.1B | 276% |
| Total Cash | 1.7B | 1.66B | 102% |
| Total Debt | 22.4B | 7.1B | 315% |
MRSH | WTW | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 17 | 25 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 84 Overvalued | 81 Overvalued | |
PROFIT vs RISK RATING 1..100 | 65 | 43 | |
SMR RATING 1..100 | 38 | 46 | |
PRICE GROWTH RATING 1..100 | 45 | 8 | |
P/E GROWTH RATING 1..100 | 47 | 100 | |
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.
WTW's Valuation (81) in the Other Consumer Services industry is in the same range as MRSH (84) in the null industry. This means that WTW’s stock grew similarly to MRSH’s over the last 12 months.
WTW's Profit vs Risk Rating (43) in the Other Consumer Services industry is in the same range as MRSH (65) in the null industry. This means that WTW’s stock grew similarly to MRSH’s over the last 12 months.
MRSH's SMR Rating (38) in the null industry is in the same range as WTW (46) in the Other Consumer Services industry. This means that MRSH’s stock grew similarly to WTW’s over the last 12 months.
WTW's Price Growth Rating (8) in the Other Consumer Services industry is somewhat better than the same rating for MRSH (45) in the null industry. This means that WTW’s stock grew somewhat faster than MRSH’s over the last 12 months.
MRSH's P/E Growth Rating (47) in the null industry is somewhat better than the same rating for WTW (100) in the Other Consumer Services industry. This means that MRSH’s stock grew somewhat faster than WTW’s over the last 12 months.
| MRSH | WTW | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 33% | 4 days ago 53% |
| Stochastic ODDS (%) | 4 days ago 48% | 4 days ago 43% |
| Momentum ODDS (%) | 4 days ago 54% | 4 days ago 55% |
| MACD ODDS (%) | 4 days ago 44% | 4 days ago 64% |
| TrendWeek ODDS (%) | 4 days ago 49% | 4 days ago 51% |
| TrendMonth ODDS (%) | 4 days ago 44% | 4 days ago 52% |
| Advances ODDS (%) | 6 days ago 49% | 7 days ago 47% |
| Declines ODDS (%) | 4 days ago 42% | 13 days ago 48% |
| BollingerBands ODDS (%) | 4 days ago 50% | 4 days ago 44% |
| Aroon ODDS (%) | 4 days ago 35% | 4 days ago 50% |
A.I.dvisor indicates that over the last year, MRSH has been closely correlated with AON. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if MRSH jumps, then AON could also see price increases.
| Ticker / NAME | Correlation To MRSH | 1D Price Change % | ||
|---|---|---|---|---|
| MRSH | 100% | -0.95% | ||
| AON - MRSH | 81% Closely correlated | -1.64% | ||
| AJG - MRSH | 77% Closely correlated | -2.75% | ||
| BRO - MRSH | 75% Closely correlated | -0.66% | ||
| WTW - MRSH | 63% Loosely correlated | -0.04% | ||
| ERIE - MRSH | 53% Loosely correlated | +3.58% | ||
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A.I.dvisor indicates that over the last year, WTW has been closely correlated with AON. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if WTW jumps, then AON could also see price increases.
| Ticker / NAME | Correlation To WTW | 1D Price Change % | ||
|---|---|---|---|---|
| WTW | 100% | -0.04% | ||
| AON - WTW | 75% Closely correlated | -1.64% | ||
| AJG - WTW | 74% Closely correlated | -2.75% | ||
| MRSH - WTW | 63% Loosely correlated | -0.95% | ||
| BRO - WTW | 59% Loosely correlated | -0.66% | ||
| GSHD - WTW | 44% Loosely correlated | -2.91% | ||
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