Moody's Corporation (MCO) and S&P Global Inc. (SPGI) stand as dominant players in credit ratings and financial data services, making them prime candidates for comparison in today's market. Both benefit from entrenched oligopolies in ratings and analytics, yet differ in diversification and growth drivers. Traders seeking momentum plays and long-term investors eyeing sector stability will find value in analyzing their relative performance, valuations, and catalysts amid evolving economic conditions and regulatory scrutiny.
Moody's Corporation (MCO) specializes in credit ratings, research, and analytics, powering risk assessment for global markets. In recent market activity, shares climbed about 6%, rebounding from around $432 to near $456, buoyed by robust Q1 2026 results. Revenue hit $2.08 billion, up on strong issuance volumes and analytics demand, with adjusted EPS (earnings per share) of $4.33 surpassing estimates. The company raised its full-year profit outlook, highlighting resilient margins around 40%. Sentiment has shifted positively on AI integration in products and analyst upgrades, including Wells Fargo's Overweight rating with a $590 target. Year-to-date gains stand at 10.5%, with a 52-week range of $402-$547.
S&P Global Inc. (SPGI) offers credit ratings alongside indices, commodity insights, and market intelligence, providing broader exposure than pure-play raters. Recent weeks showed shares stabilizing near $437 after fluctuations from $410 levels, with year-to-date performance at approximately 16%. Key influences include the launch of AI-powered Titan platform for energy data and partnerships like SLB expansion, offsetting earlier concerns from 2026 outlook. Trailing revenue reached $15.3 billion, with EPS of $14.68 and a market cap of $130 billion. Analyst consensus leans Overweight at $534 target, amid steady dividend growth. The 52-week range spans $382-$579, reflecting resilience in diversified segments.
Tickeron's Trending AI Robots page curates the platform's top performers from hundreds of AI Trading Bots—specifically 25 elite selections out of 351 total bots—that scan and trade thousands of tickers across diverse strategies. These bots employ varied approaches, including swing trading, pattern recognition, and momentum plays, with timeframes from intraday to multi-week holds. Standouts feature win rates often above 60%, profit factors exceeding 1.5, and average returns in the double digits over recent periods, adapting dynamically to market conditions like volatility in financial sectors. Ideal for hands-off traders, they highlight bots suited to current trends in stocks like those in ratings and data services. Explore Trending AI Robots to identify tools matching your risk profile and timeframe.
MCO and SPGI share core business models in credit ratings but diverge in scope: MCO emphasizes analytics (50%+ revenue), while SPGI's indices and mobility segments drive diversification, reducing reliance on issuance cycles. Growth drivers include MCO's refinancing tailwinds and SPGI's commodity data expansion. Recent momentum tilts to MCO post-earnings, contrasting SPGI's steadier YTD path amid AI disruptions. Risk factors feature regulatory pressures on ratings oligopoly for both, with MCO's higher beta (1.45 vs. 1.20) signaling greater volatility. Sector exposure aligns in financials, but SPGI's broader footprint offers trade-offs in stability versus MCO's focused efficiency. Market sentiment favors MCO's near-term catalysts, while SPGI appeals for scale.
Tickeron's AI models currently lean toward MCO for its consistent recent trend strength, earnings beat, and raised guidance, positioning it favorably amid financial sector rotation. SPGI remains competitive with superior diversification and YTD gains, but MCO's momentum and analytics growth suggest higher near-term probability of outperformance, barring broader market shifts.
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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).
MCO’s FA Score shows that 1 FA rating(s) are green whileSPGI’s FA Score has 0 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.
MCO’s TA Score shows that 5 TA indicator(s) are bullish while SPGI’s TA Score has 3 bullish TA indicator(s).
MCO (@Financial Publishing/Services) experienced а -0.98% price change this week, while SPGI (@Financial Publishing/Services) price change was -1.39% for the same time period.
The average weekly price growth across all stocks in the @Financial Publishing/Services industry was +0.24%. For the same industry, the average monthly price growth was +4.42%, and the average quarterly price growth was +6.55%.
MCO is expected to report earnings on Jul 28, 2026.
SPGI is expected to report earnings on Aug 04, 2026.
The financial publishing /services sector includes companies that provide informational products and services that are of value to investors, financial/analytics professionals and other interested readers. The products include real-time stock quotes, financial news and analyses. Think S&P Global, Inc., Moody`s Corporation, Thomson-Reuters Corp and IHS Markit Ltd. Information is critical in making financial or investment decisions, and what makes this industry’s output relevant at all times, across various economic conditions.
| MCO | SPGI | MCO / SPGI | |
| Capitalization | 78.8B | 124B | 64% |
| EBITDA | 3.96B | 8.14B | 49% |
| Gain YTD | -11.462 | -19.421 | 59% |
| P/E Ratio | 32.38 | 26.57 | 122% |
| Revenue | 7.87B | 15.7B | 50% |
| Total Cash | 1.51B | 1.81B | 83% |
| Total Debt | 7.31B | 13.8B | 53% |
MCO | SPGI | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 12 | 56 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 83 Overvalued | 45 Fair valued | |
PROFIT vs RISK RATING 1..100 | 52 | 77 | |
SMR RATING 1..100 | 15 | 56 | |
PRICE GROWTH RATING 1..100 | 55 | 61 | |
P/E GROWTH RATING 1..100 | 75 | 85 | |
SEASONALITY SCORE 1..100 | n/a | 34 |
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.
SPGI's Valuation (45) in the Financial Publishing Or Services industry is somewhat better than the same rating for MCO (83). This means that SPGI’s stock grew somewhat faster than MCO’s over the last 12 months.
MCO's Profit vs Risk Rating (52) in the Financial Publishing Or Services industry is in the same range as SPGI (77). This means that MCO’s stock grew similarly to SPGI’s over the last 12 months.
MCO's SMR Rating (15) in the Financial Publishing Or Services industry is somewhat better than the same rating for SPGI (56). This means that MCO’s stock grew somewhat faster than SPGI’s over the last 12 months.
MCO's Price Growth Rating (55) in the Financial Publishing Or Services industry is in the same range as SPGI (61). This means that MCO’s stock grew similarly to SPGI’s over the last 12 months.
MCO's P/E Growth Rating (75) in the Financial Publishing Or Services industry is in the same range as SPGI (85). This means that MCO’s stock grew similarly to SPGI’s over the last 12 months.
| MCO | SPGI | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 74% | 1 day ago 65% |
| Momentum ODDS (%) | 1 day ago 48% | 1 day ago 48% |
| MACD ODDS (%) | 1 day ago 51% | 1 day ago 39% |
| TrendWeek ODDS (%) | 1 day ago 51% | 1 day ago 49% |
| TrendMonth ODDS (%) | 1 day ago 53% | 1 day ago 49% |
| Advances ODDS (%) | 10 days ago 60% | 18 days ago 55% |
| Declines ODDS (%) | 6 days ago 51% | 4 days ago 51% |
| BollingerBands ODDS (%) | 1 day ago 50% | N/A |
| Aroon ODDS (%) | 1 day ago 44% | 1 day ago 52% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| VPL | 113.89 | 2.82 | +2.54% |
| Vanguard FTSE Pacific ETF | |||
| SCDV | 26.77 | 0.23 | +0.86% |
| Bahl & Gaynor Small Cap Dividend ETF | |||
| ECML | 37.97 | N/A | N/A |
| Euclidean Fundamental Value ETF | |||
| NKX | 12.46 | -0.01 | -0.08% |
| Nuveen California AMT-Free Quality Municipal Income Fund | |||
| PCGG | 10.96 | -0.08 | -0.74% |
| Polen Capital Global Growth ETF | |||
A.I.dvisor indicates that over the last year, SPGI has been closely correlated with MCO. These tickers have moved in lockstep 87% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPGI jumps, then MCO could also see price increases.
| Ticker / NAME | Correlation To SPGI | 1D Price Change % | ||
|---|---|---|---|---|
| SPGI | 100% | -2.00% | ||
| MCO - SPGI | 87% Closely correlated | -1.26% | ||
| NDAQ - SPGI | 72% Closely correlated | -0.10% | ||
| MSCI - SPGI | 64% Loosely correlated | -0.50% | ||
| MORN - SPGI | 62% Loosely correlated | -0.68% | ||
| JEF - SPGI | 62% Loosely correlated | +2.95% | ||
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