PERRIGO Co plc PRGO revenue by segment, product and geography
In its fiscal year ending 2025-12-31, PERRIGO Co plc reported revenue across 2 business segments; the largest, Consumer Self Care Americas, was $2.59B, 60.8% of the filed sum (-4.0% 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- Consumer Self Care Americas$2.59B60.8%-4.0% yoy
- Consumer Self Care International$1.67B39.2%-0.7% yoy
Members sum to the consolidated $4.25B for this period.
- Contract Manufacturing$271M100.0%-11.5% yoy
Members sum to $271M against $4.25B consolidated (residual $3.98B) - eliminations or corporate lines the filer did not tag on this axis.
- United States$2.54B59.1%-4.1% yoy
- Europe$1.62B37.6%+0.7% yoy
- Other Geographical Areas$96.7M2.3%-19.1% yoy
- Ireland$42.1M1.0%+6.3% yoy
Members sum to the consolidated $4.25B for this period.
- United States$554M57.0%-9.0% yoy
- Europe$391M40.2%-5.1% yoy
- Other Geographical Areas$23.4M2.4%+4.9% yoy
- Ireland$4.1M0.4%-62.7% 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.