FSI vs SQM
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 FSI is a Hold and SQM is a Sell.
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).
FSI’s FA Score shows that 1 FA rating(s) are green whileSQM’s FA Score has 1 green FA rating(s).
- FSI’s FA Score: 1 green, 4 red.
- SQM’s FA Score: 1 green, 4 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.
FSI’s TA Score shows that 4 TA indicator(s) are bullish while SQM’s TA Score has 3 bullish TA indicator(s).
- FSI’s TA Score: 4 bullish, 4 bearish.
- SQM’s TA Score: 3 bullish, 7 bearish.
Price Growth
FSI (@Chemicals: Specialty) experienced а -8.29% price change this week, while SQM (@Chemicals: Specialty) price change was +4.01% for the same time period.
The average weekly price growth across all stocks in the @Chemicals: Specialty industry was -2.61%. For the same industry, the average monthly price growth was -6.27%, and the average quarterly price growth was -6.37%.
Reported Earning Dates
FSI is expected to report earnings on Mar 28, 2025.
SQM is expected to report earnings on Feb 26, 2025.
Industries' Descriptions
@Chemicals: Specialty (-2.61% weekly)The specialty chemicals sector includes companies that produce chemicals and industrial gases, which are of relatively high-value, often made to customer specifications. Examples of specialty chemicals are electronic chemicals, industrial gases, coatings, adhesives and sealants, industrial and institutional cleaning chemicals. The products are often valued on the basis of their purposes/performances rather than for their composition. Linde Plc, Ecolab Inc., Air Products and Chemicals, Inc., and Dow, Inc. are some of the largest companies making specialty chemicals.
| FSI | SQM | FSI / SQM | |
| Capitalization | 23.6M | 14B | 0% |
| EBITDA | 5.96M | 2.94B | 0% |
| Gain YTD | 96.859 | -36.370 | -266% |
| P/E Ratio | 6.33 | 6.95 | 91% |
| Revenue | 41.1M | 7.47B | 1% |
| Total Cash | 9.95M | 2.36B | 0% |
| Total Debt | 7.99M | 4.49B | 0% |
FSI | SQM | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 68 Overvalued | 79 Overvalued | |
PROFIT vs RISK RATING 1..100 | 69 | 72 | |
SMR RATING 1..100 | 74 | 86 | |
PRICE GROWTH RATING 1..100 | 36 | 61 | |
P/E GROWTH RATING 1..100 | 4 | 1 | |
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.
FSI's Valuation (68) in the Chemicals Specialty industry is in the same range as SQM (79) in the Chemicals Agricultural industry. This means that FSI’s stock grew similarly to SQM’s over the last 12 months.
FSI's Profit vs Risk Rating (69) in the Chemicals Specialty industry is in the same range as SQM (72) in the Chemicals Agricultural industry. This means that FSI’s stock grew similarly to SQM’s over the last 12 months.
FSI's SMR Rating (74) in the Chemicals Specialty industry is in the same range as SQM (86) in the Chemicals Agricultural industry. This means that FSI’s stock grew similarly to SQM’s over the last 12 months.
FSI's Price Growth Rating (36) in the Chemicals Specialty industry is in the same range as SQM (61) in the Chemicals Agricultural industry. This means that FSI’s stock grew similarly to SQM’s over the last 12 months.
SQM's P/E Growth Rating (1) in the Chemicals Agricultural industry is in the same range as FSI (4) in the Chemicals Specialty industry. This means that SQM’s stock grew similarly to FSI’s over the last 12 months.
| FSI | SQM | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 88% | 7 days ago 86% |
| Stochastic ODDS (%) | 4 days ago 75% | 4 days ago 78% |
| Momentum ODDS (%) | 4 days ago 70% | 4 days ago 74% |
| MACD ODDS (%) | 4 days ago 87% | 5 days ago 72% |
| TrendWeek ODDS (%) | 4 days ago 79% | 4 days ago 80% |
| TrendMonth ODDS (%) | 4 days ago 74% | 4 days ago 73% |
| Advances ODDS (%) | 22 days ago 77% | 15 days ago 78% |
| Declines ODDS (%) | 5 days ago 78% | 13 days ago 75% |
| BollingerBands ODDS (%) | 4 days ago 81% | 5 days ago 74% |
| Aroon ODDS (%) | 4 days ago 72% | 4 days ago 78% |
FSI and
Correlation & Price change
A.I.dvisor tells us that FSI and SQM have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FSI and SQM's prices will move in lockstep.
| Ticker / NAME | Correlation To FSI | 1D Price Change % | ||
|---|---|---|---|---|
| FSI | 100% | +1.08% | ||
| SQM - FSI | 26% Poorly correlated | +0.63% | ||
| ORGN - FSI | 23% Poorly correlated | -12.80% | ||
| CBT - FSI | 23% Poorly correlated | -0.34% | ||
| GEVO - FSI | 23% Poorly correlated | -4.03% | ||
| ELKEF - FSI | 23% Poorly correlated | N/A | ||
More | ||||
SQM and
Correlation & Price change
A.I.dvisor indicates that over the last year, SQM has been closely correlated with ALB. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if SQM jumps, then ALB could also see price increases.