Analysis on Unusual Current Ratio of Apple Based on Annual Report 2017-2023
Bibliographic record
Abstract
Apple, as the leading company of technology industry, plays a significant role on the manufacture and sale of electronical devices. Therefore, it is worth to analyze its financial situations. However, its most updated data of unusual current ratio has not been widely noticed. On one hand, its current ratio has dropped to less than 1 since March 2022, underlying its current asset is not adequate to cover up its current debt. On the other hand, its high profitability ratio shows Apple appears to be a fairly prosper firm and is nearly impossible to fall in the foreseeable future. This paper focuses on Apple’s balance sheet and income sheet by using the method of collecting the data from Apple’s financial report from 2017 to 2023 and then analyzing the correlation. The result of the research demonstrates that Apple is still considered safe despite its low liquidity and high risk since it has enormous cash and market securities to pay off its debt.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".