Anheuser-Busch InBev reports Second Quarter and Half Year 2014 Results Highlights
Bibliographic record
Abstract
Except where otherwise stated, the comments below are based on organic figures and refer to 2Q14 and HY14 versus the same period of last year. For important notes and disclaimers please refer to page 14 Revenue growth: Revenue grew by 5.0 % in 2Q14, with revenue per hl growing by 4.3%, driven by our revenue management and premiumization initiatives. On a constant geographic basis, revenue per hl grew by 4.6%. In HY14, revenue grew by 6.8 % with revenue per hl growth of 4.7 % or 5.2 % on a constant geographic basis Volume performance: Total volumes grew by 1.0 % in 2Q14, with own beer volumes increasing by 0.5%, and non-beer volumes increasing by 5.8%. The growth in own beer volumes in the quarter was driven by growth in Brazil of 7.2%, Mexico of 1.5 % and China of 4.6%, partly offset by an expected decline in sales-to-wholesalers (STWs) in the US of 3.4 % due to inventory adjustments following the closing of labor negotiations. In HY14, total volumes grew by 2.6%, with own beer volumes increasing by 2.4 % and non-beer volumes increasing by 4.3% Focus Brands: Volumes of our Focus Brands grew by 3.1 % in 2Q14 and by 4.4 % in HY14, while our three Global Brands Budweiser, Corona and Stella Artois, grew by 6.0 % in 2Q14 and 7.0 % in HY14 Cost of Sales (CoS): CoS increased by 0.4 % in 2Q14, and by 0.8 % on a per hl basis. This
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.447 | 0.306 |
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 source (direct Gemma or distilled Codex), 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".