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IAG vs SA
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 IAG is a StrongBuy and SA is a Hold.
| IAG | SA | IAG / SA | |
| Capitalization | 11.6B | 3.36B | 346% |
| EBITDA | 2.17B | 53.9M | 4,033% |
| Gain YTD | 22.862 | 12.061 | 190% |
| P/E Ratio | 10.23 | 158.56 | 6% |
| Revenue | 3.68B | 0 | - |
| Total Cash | 502M | 95.5M | 526% |
| Total Debt | 540M | 562M | 96% |
IAG | SA | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 88 | 63 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 61 Fair valued | 96 Overvalued | |
PROFIT vs RISK RATING 1..100 | 28 | 45 | |
SMR RATING 1..100 | 34 | 86 | |
PRICE GROWTH RATING 1..100 | 38 | 41 | |
P/E GROWTH RATING 1..100 | 18 | 51 | |
SEASONALITY SCORE 1..100 | 50 | 65 |
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.
IAG's Valuation (61) in the Precious Metals industry is somewhat better than the same rating for SA (96). This means that IAG’s stock grew somewhat faster than SA’s over the last 12 months.
IAG's Profit vs Risk Rating (28) in the Precious Metals industry is in the same range as SA (45). This means that IAG’s stock grew similarly to SA’s over the last 12 months.
IAG's SMR Rating (34) in the Precious Metals industry is somewhat better than the same rating for SA (86). This means that IAG’s stock grew somewhat faster than SA’s over the last 12 months.
IAG's Price Growth Rating (38) in the Precious Metals industry is in the same range as SA (41). This means that IAG’s stock grew similarly to SA’s over the last 12 months.
IAG's P/E Growth Rating (18) in the Precious Metals industry is somewhat better than the same rating for SA (51). This means that IAG’s stock grew somewhat faster than SA’s over the last 12 months.
| IAG | SA | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 80% | 2 days ago 88% |
| Stochastic ODDS (%) | 2 days ago 85% | 2 days ago 80% |
| Momentum ODDS (%) | 2 days ago 76% | 2 days ago 73% |
| MACD ODDS (%) | 2 days ago 75% | 2 days ago 75% |
| TrendWeek ODDS (%) | 2 days ago 74% | 2 days ago 75% |
| TrendMonth ODDS (%) | 2 days ago 82% | 2 days ago 77% |
| Advances ODDS (%) | 10 days ago 84% | 10 days ago 78% |
| Declines ODDS (%) | 5 days ago 76% | 5 days ago 75% |
| BollingerBands ODDS (%) | N/A | 4 days ago 85% |
| Aroon ODDS (%) | 2 days ago 80% | 2 days ago 79% |
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
IAG’s FA Score shows that 2 FA rating(s) are green while SA’s FA Score has 0 green FA rating(s).
- IAG’s FA Score: 2 green, 3 red.
- SA’s FA Score: 0 green, 5 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.
IAG’s TA Score shows that 4 TA indicator(s) are bullish while SA’s TA Score has 5 bullish TA indicator(s).
- IAG’s TA Score: 4 bullish, 4 bearish.
- SA’s TA Score: 5 bullish, 5 bearish.
Price Growth
IAG (@Precious Metals) experienced а -1.07% price change this week, while SA (@Precious Metals) price change was -2.58% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was -3.23%. For the same industry, the average monthly price growth was +3.60%, and the average quarterly price growth was +1.84%.
Reported Earning Dates
IAG is expected to report earnings on Nov 10, 2026.
Industries' Descriptions
@Precious Metals (-3.23% weekly)The Precious Metals industry is engaged in exploring/mining metals that are considered to be rare and/or have a high economic value. Popular precious metals include gold, platinum and silver - all three of which are largely used in jewelry, art and coinage alongwith having some industrial uses as well. Precious metals used in industrial processes include iridium, (used in specialty alloys), and palladium ( used in electronics and chemical applications). Historically, precious metals have traded at much higher prices than common industrial metals. Newmont Goldcorp Corp, Barrick Gold Corp and Freeport-McMoRan are few of the major precious metals producing companies in the U.S.
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IAG and
Correlation & Price change
A.I.dvisor indicates that over the last year, IAG has been closely correlated with KGC. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if IAG jumps, then KGC could also see price increases.
| Ticker / NAME | Correlation To IAG | 1D Price Change % | ||
|---|---|---|---|---|
| IAG | 100% | +0.85% | ||
| KGC - IAG | 88% Closely correlated | +0.69% | ||
| CGAU - IAG | 88% Closely correlated | +0.13% | ||
| AEM - IAG | 87% Closely correlated | +1.87% | ||
| WPM - IAG | 87% Closely correlated | +2.08% | ||
| PAAS - IAG | 87% Closely correlated | -0.61% | ||
More | ||||
SA and
Correlation & Price change
A.I.dvisor indicates that over the last year, SA has been closely correlated with AEM. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if SA jumps, then AEM could also see price increases.