This stock comparison pits BCS (Barclays PLC) against SAN (Banco Santander, S.A.), two prominent European banks listed as American Depositary Receipts (ADRs) on the NYSE. Investors and traders interested in the financial sector, particularly those seeking international banking exposure amid evolving monetary policies and geopolitical influences, will find value here. By examining recent performance, business models, and market dynamics, this analysis highlights relative strengths, risks, and positioning to inform data-driven decisions in today's volatile environment.
Barclays PLC (BCS), a London-headquartered multinational investment bank, operates across corporate and investment banking, consumer banking, and wealth management. In recent market activity, BCS shares have rebounded sharply, gaining 13.56% over the past month after earlier quarterly pressures. This uptick reflects improved sentiment tied to strategic announcements and anticipation of Q1 2026 results due April 28. Broader YTD declines of about 9.82% stem from sector-wide challenges like fluctuating net interest income (NII, revenue from interest-bearing assets) and regulatory scrutiny, though one-year returns exceed 43% amid resilient trading operations. Investor focus remains on execution of new strategies and macroeconomic tailwinds.
Banco Santander, S.A. (SAN), Spain's largest bank by market cap, emphasizes retail and commercial banking with significant presence in Europe and Latin America. Shares have demonstrated stability, up 1.01% YTD and 67.55% over the past year as of late April, supported by diversified revenue streams. Recent weeks saw modest gains near the 52-week high of $13.24, influenced by positive analyst updates and preparations for Q1 2026 earnings on April 29. Sentiment benefits from strong profitability metrics, including a trailing P/E of 12.20 and forward dividend yield of 2.34%, though exposure to emerging markets introduces currency risks. Overall, performance underscores operational resilience.
Tickeron’s Trending AI Robots page curates the top 25 performers from over 351 AI trading bots that analyze thousands of tickers across stocks, ETFs, and crypto. These bots employ diverse strategies like trend-following and pattern recognition on timeframes from 5 minutes to 60 minutes, delivering impressive stats such as annualized returns ranging from +50% to +127%, win rates of 55-88%, profit factors up to 6.94, and profit-to-drawdown ratios exceeding 8 in many cases. Selected for current market conditions, they target high-momentum sectors like semiconductors and technology. Traders can copy these bots via virtual or brokerage agents with built-in risk management. Explore the Trending AI Robots page to identify tools suited to your style.
BCS leans toward investment banking and trading, providing higher growth potential from market volatility but greater sensitivity to economic cycles, while SAN prioritizes retail banking and geographic diversification, enhancing stability through recurring NII and fee income. Recent momentum favors BCS in the short term with its monthly surge, contrasting SAN's steadier YTD trajectory. Risk factors include regulatory pressures for both, though SAN's lower beta (0.96) suggests reduced market correlation. Sector exposure overlaps in Europe but diverges with SAN's Latin American footprint versus BCS's U.S. investment focus. Sentiment tilts toward SAN for income reliability amid uncertainty.
Tickeron’s AI models currently lean toward SAN due to its positive YTD performance, superior one-year returns, and lower volatility profile ahead of earnings. Factors like trend consistency and diversified catalysts position it favorably relative to BCS's higher short-term rebound potential but YTD lag. This probabilistic edge reflects observable momentum without guaranteeing outcomes.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
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).
BCS’s FA Score shows that 3 FA rating(s) are green whileSAN’s FA Score has 3 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.
BCS’s TA Score shows that 3 TA indicator(s) are bullish while SAN’s TA Score has 4 bullish TA indicator(s).
BCS (@Major Banks) experienced а -3.80% price change this week, while SAN (@Major Banks) price change was -1.13% for the same time period.
The average weekly price growth across all stocks in the @Major Banks industry was +0.42%. For the same industry, the average monthly price growth was +4.93%, and the average quarterly price growth was +13.35%.
BCS is expected to report earnings on Jul 28, 2026.
SAN is expected to report earnings on Jul 22, 2026.
Major banks are among the biggest companies in the world, often times with global reach and market capitalizations in the multi-billions. Large banks often have multiple arms spanning different disciplines, from deposits, to investment banking, to wealth management and insurance. The biggest banks often have key competitive advantages over smaller players in the industry in terms of brand recognition, cost of capital, and efficiency. Think J.P. Morgan, Bank of America, Wells Fargo, and Citigroup.
| BCS | SAN | BCS / SAN | |
| Capitalization | 82.4B | 174B | 47% |
| EBITDA | N/A | N/A | - |
| Gain YTD | -2.161 | 5.884 | -37% |
| P/E Ratio | 10.50 | 12.04 | 87% |
| Revenue | 29.6B | 60.5B | 49% |
| Total Cash | N/A | N/A | - |
| Total Debt | 137B | 329B | 42% |
BCS | SAN | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 19 | 12 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 44 Fair valued | 70 Overvalued | |
PROFIT vs RISK RATING 1..100 | 18 | 8 | |
SMR RATING 1..100 | 6 | 4 | |
PRICE GROWTH RATING 1..100 | 45 | 44 | |
P/E GROWTH RATING 1..100 | 33 | 23 | |
SEASONALITY SCORE 1..100 | 50 | 75 |
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.
BCS's Valuation (44) in the Major Banks industry is in the same range as SAN (70). This means that BCS’s stock grew similarly to SAN’s over the last 12 months.
SAN's Profit vs Risk Rating (8) in the Major Banks industry is in the same range as BCS (18). This means that SAN’s stock grew similarly to BCS’s over the last 12 months.
SAN's SMR Rating (4) in the Major Banks industry is in the same range as BCS (6). This means that SAN’s stock grew similarly to BCS’s over the last 12 months.
SAN's Price Growth Rating (44) in the Major Banks industry is in the same range as BCS (45). This means that SAN’s stock grew similarly to BCS’s over the last 12 months.
SAN's P/E Growth Rating (23) in the Major Banks industry is in the same range as BCS (33). This means that SAN’s stock grew similarly to BCS’s over the last 12 months.
| BCS | SAN | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 61% | N/A |
| Stochastic ODDS (%) | 2 days ago 59% | 2 days ago 52% |
| Momentum ODDS (%) | 2 days ago 71% | 2 days ago 71% |
| MACD ODDS (%) | 2 days ago 75% | 2 days ago 50% |
| TrendWeek ODDS (%) | 2 days ago 59% | 2 days ago 54% |
| TrendMonth ODDS (%) | 2 days ago 69% | 2 days ago 54% |
| Advances ODDS (%) | 14 days ago 69% | 14 days ago 72% |
| Declines ODDS (%) | 2 days ago 59% | 19 days ago 56% |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 48% | 2 days ago 72% |
A.I.dvisor indicates that over the last year, BCS has been closely correlated with HSBC. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if BCS jumps, then HSBC could also see price increases.
A.I.dvisor indicates that over the last year, SAN has been closely correlated with BBVA. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if SAN jumps, then BBVA could also see price increases.
| Ticker / NAME | Correlation To SAN | 1D Price Change % | ||
|---|---|---|---|---|
| SAN | 100% | +0.90% | ||
| BBVA - SAN | 77% Closely correlated | +0.72% | ||
| ING - SAN | 73% Closely correlated | +0.55% | ||
| BCS - SAN | 72% Closely correlated | +0.37% | ||
| HSBC - SAN | 71% Closely correlated | -2.39% | ||
| UBS - SAN | 57% Loosely correlated | +1.21% | ||
More | ||||