APPIAN CORP APPN revenue by segment, product and geography
In its fiscal year ending 2025-12-31, APPIAN CORP reported revenue across 5 products and services; the largest, Subscriptions Software And Support, was $576M (+17.5% 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- Subscriptions Software And Support$576Mshare n/a+17.5% yoy
- Cloud Subscriptions$437Mshare n/a+18.8% yoy
- Professional Services$150Mshare n/a+19.0% yoy
- License Subscriptions$106Mshare n/a+14.8% yoy
- Maintenance And Support$33.3Mshare n/a+9.6% yoy
member sum exceeds the consolidated figure: this axis carries more than one breakdown, so shares are not computed.
- United States$454M62.4%+16.0% yoy
- Outside the United States$273M37.6%+20.9% yoy
Members sum to the consolidated $727M for this period.
- Subscriptions Software And Support$160Mshare n/a+19.3% yoy
- Cloud Subscriptions$125Mshare n/a+24.7% yoy
- Professional Services$41.9Mshare n/a+30.5% yoy
- Other Subscriptions$35.8Mshare n/a+3.7% 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.