KALTURA INC KLTR revenue by segment, product and geography
In its fiscal year ending 2025-12-31, KALTURA INC reported revenue across 2 business segments; the largest, Enterprise Education And Technology Segment, was $134M, 74.3% of the filed sum (+4.5% against the prior period in the same filing).
Reported segment mix
figures as filed · share of the filed sum · change vs the prior period in the same filing- Enterprise Education And Technology Segment$134M74.3%+4.5% yoy
- Media And Telecom Segment$46.4M25.7%-7.2% yoy
Members sum to the consolidated $181M for this period.
- Subscription$172M95.1%+2.5% yoy
- Professional Services$8.91M4.9%-19.2% yoy
Members sum to the consolidated $181M for this period.
- United States$96.2M53.2%+1.4% yoy
- EMEA$71.2M39.4%+4.1% yoy
- Other countries$13.4M7.4%-13.2% yoy
Members sum to the consolidated $181M for this period.
- Enterprise Education And Technology$34.2Mshare n/a-0.8% yoy
- Enterprise Education And Technology Segment$34.2Mshare n/a-0.8% yoy
- Media And Telecom Segment$10.5Mshare n/a-16.7% yoy
- Media And Telecom$10.5Mshare n/a-16.7% yoy
Change is against the same quarter a year earlier, as reported in the same 10-Q.
Source: SEC DERA Financial Statement and Notes data sets. Dimensional XBRL facts on the business-segment, product/service and geographic axes; the engine keeps the accession of every figure. Descriptive and educational, not advice.
About these figures
Companies tag segment, product and geographic revenue as dimensional XBRL facts in their 10-K and 10-Q filings. The SEC publishes those facts in its DERA Financial Statement and Notes data sets; TrendNalysis ingests each monthly file and serves the facts exactly as filed, keyed to the accession of the filing. Shares are of the filed sum. Where a filer tags more than one breakdown on one axis, the sum exceeds consolidated revenue and no shares are computed; where the members do not add up to the consolidated figure, the residual is stated rather than hidden. Missing is never zero.
Descriptive and educational; not investment advice. Methodology and data lineage.