General Motors Company
American automotive manufacturer with operations in North America, China, South America, Middle East, and Europe
Every fact below is drawn from Via News's knowledge graph and linked to the source document it came from. Nothing here is unsourced. How we source →
Key metrics · each point sourced
Stated objectives
Achieve EBIT adjusted
sourceAchieve EPS diluted adjusted
sourceAchieve adjusted automotive free cash flow
sourceGrow deferred revenue
sourceReduce costs through EV capacity actions
sourceImprove warranty costs
sourceAchieve regulatory savings from eliminated compliance credit needs
sourceExpand Super Cruise to South Korea, Middle East, Europe
sourceAchieve US production capacity
sourceLaunch LMR battery chemistry with several thousand dollars cost reduction per cell/pack
sourceRelationship graph · 494 connections
Where sources disagree
We surface conflicts between sources rather than hiding them.
FACT A and FACT B report the SAME metric (revenue) for the SAME fiscal period (Q2 2026) at the SAME observation date (2026-06-30), but with values that differ by a factor of 1 million: $48.026 billion vs. $48,026. This is a data quality error — likely FACT B is missing six zeros or represents a different unit/scale entirely. For General Motors, the $48B figure (FACT A) is plausible quarterly revenue; the $48K figure (FACT B) is not.
Same entity (General Motors), same attribute (revenue), same fiscal period (Q2 2026), same observation date (2026-06-30) but wildly different values: $48.026 billion vs. $91,650. The difference is approximately 523,000x. Fact A aligns with typical quarterly revenue for a major automaker; Fact B is implausibly small. This indicates a data quality issue—likely Fact B is either incorrectly scaled, mis-attributed (e.g., per-share, segment-level, or transaction-level data), or sourced from a corrupted record.
Both facts report net_income for General Motors in Q2 2026 (observed 2026-06-30), but with vastly different values: $1,305,000,000 vs $3,932. The ~332,000x magnitude difference represents a direct value conflict for the identical metric, entity, and time period. This is not a change over time — both timestamps are the same.
The same entity (General Motors), same attribute (net_income), same fiscal period (Q2 2026), and same observation timestamp (2026-06-30) report conflicting values: $1,305,000,000 USD vs $1,305 USD. These values differ by a factor of 1,000,000 and cannot both be accurate representations of Q2 2026 net income. This is a clear data quality issue—one value likely contains a missing scale multiplier or erroneous decimal placement.