The current cohort is characterized by heavy concentration in the Financial Services and Technology sectors, which account for seven and six positions respectively. While these sectors dominate the count, the underlying data reveals significant variance in how individual names within these groups are positioned relative to their peer metrics. For instance, while both Financial Services and Technology show high representation, the specific drivers of their rankings vary significantly between firms like ITUB and STNE.
Several notable movements occurred as of the latest update. PBR moved up eight positions to reach rank 3, despite a reported AIQ Score decline of 13 points. This movement indicates that while its overall score profile weakened, it remains highly ranked within the cohort's structure. Conversely, ITUB experienced a single-rank decline, moving from rank 3 to rank 4. The data for ITUB shows an AIQ Score of 39.0 and a risk score of 19.0, indicating a specific profile that distinguishes it from other high-ranking peers.
New entries into the cohort provide fresh data points for analysis. FIG entered at rank 8 with an AIQ Score of 44.0, supported by a momentum score of 41.0 and a quality score of 59.0. Its entry follows a significant decline in its momentum metric. Similarly, IOVA entered at rank 9 with an AIQ Score of 35.0, while MU joined at rank 15 with an AIQ Score of 64.0. The high quality score for MU of 99.0 stands out as a primary factor for its position relative to other technology peers.
The exit of several names from the cohort marks a shift in available data points. DAVE exited at rank 4, while MPC and HXL also left the ranked list. These exits remove specific risk and momentum profiles from the immediate comparison pool. The removal of these names changes the concentration dynamics within the Energy and Industrials sectors respectively, which now have fewer representative tickers in the current snapshot.
Analysis of the remaining top ranks reveals a diverse set of factor profiles. PAGS holds the top position with an AIQ Score of 45.0, supported by a high value score of 75.0. In contrast, PBR at rank 3 shows a much stronger quality score of 72.0 and a lower risk score of 24.0. These differences in underlying factors mean that adjacent ranks do not necessarily share identical risk profiles or momentum characteristics. For example, the jump from rank 1 to rank 3 involves a shift from value-heavy metrics to quality-focused metrics.
The inclusion of ET at rank 16 with an AIQ Score of 51.0 and a momentum score of 67.0 provides a different profile than the high-value focus seen in the top three ranks. Furthermore, NCLH at rank 14 shows a strong momentum score of 73.0 and a value score of 70.0, indicating a different profile compared to its neighbors. These variations highlight that the leaderboard is not a uniform block but a collection of distinct factor profiles.
The data also highlights specific nuances in the Energy sector. While PBR and ET are both present, their scores differ significantly; ET holds an AIQ Score of 51.0 with a quality score of 28.0, whereas PBR holds an AIQ Score of 54.0 with a quality score of 72.0. This divergence in the underlying data suggests that while both are within the same sector, their core attributes as measured by the AIQ framework are distinct. The presence of these different profiles allows for a more granular view of the cohort's diversity.
The transition of GLXY into rank 12 with an AIQ Score of 34.0 and a value score of 65.0 provides a contrast to the higher-scoring names in the top ten. While its overall score is lower, its specific value profile remains strong. This highlights that the ranking reflects a combination of factors rather than a single metric. The interplay between quality, risk, and momentum determines the final positioning, as seen in the varied scores across the top eight ranks.
In summary, the current landscape is defined by high sector concentration in Financial Services and Technology, but with significant internal diversity in factor profiles. The entry of FIG and MU provides new data points for the technology space, while the exit of DAVE and others reshapes the available comparison set. The variance between high-ranking names like PAGS and PBR underscores that different factors—such as value versus quality—are driving different positions within the top tier. Watch whether FIG maintains its position in the top ten or if its momentum score stabilizes in the next update.
