Medicare Quarterly Part D Spending by Drug

The Medicare Quarterly Part D Spending by Drug dataset presents information on spending for drugs prescribed to Medicare beneficiaries enrolled in Part D by…

Part of the CMS Data Feeds Dataset › Medicare

Dataplex delivers this CMS feed as the analysis-ready table DWV.MEDICARE_QUARTERLY_PART_D_SPENDING_BY_DRUG on Snowflake and Databricks — coverage from 2025 to 2025 in a single aligned schema, refreshed automatically whenever CMS publishes a new file. Every row carries lineage back to the exact CMS source file that produced it.

Key facts

Snowflake	DWV.MEDICARE_QUARTERLY_PART_D_SPENDING_BY_DRUG
Databricks	cms_dwv.medicare_quarterly_part_d_spending_by_drug
Coverage	Jan 2025 – Sep 2025
Rows	84,487 (total across all reporting periods)
Cadence	Quarterly
Update pattern	Time-partitioned — each file adds one reporting period
CMS published	2026-04-30
Loaded	2026-04-30
Columns	11 data + 6 lineage
File versions	3
License	CMS public data — U.S. Government work
Platforms	Snowflake Marketplace · Databricks Delta Sharing

Included in the CMS Data Feeds Dataset — start a free trial on Snowflake Marketplace.

Current — CMS last published this feed on 2026-04-30. Coverage runs through 2025-09-30. Next CMS release expected ~Jul 2026.

Time-partitioned feed — each file version covers one reporting period, so history is additive. Query the full table for all periods; filter on YEAR for a single period. Do not filter to the latest file only — that would return just the 2025 reporting period.

Sample queries

Snowflake

-- Each file version covers one reporting period (2025) — history is additive
SELECT *
FROM DWV.MEDICARE_QUARTERLY_PART_D_SPENDING_BY_DRUG
LIMIT 100;

Databricks

About this feed

The Medicare Quarterly Part D Spending by Drug dataset presents information on spending for drugs prescribed to Medicare beneficiaries enrolled in Part D by physicians and other healthcare providers. Drugs prescribed in the Medicare Part D program are drugs patients generally administer themselves. It also includes spending information for manufacturer(s) of the drugs as well as consumer-friendly information of drug uses and clinical indications.

Drug spending metrics for Part D drugs are based on the gross drug cost, which represents total spending for the prescription claim, including Medicare, plan, and beneficiary payments. The Part D spending metrics do not reflect any manufacturers’ rebates or other price concessions as CMS is prohibited from publicly disclosing such information.

This dataset reports preliminary data that goes beyond the latest date available in the annual Medicare Part D Spending by Drug dataset. The data are updated each quarter and may change with each new release due to claims lag. Once an entire year of data is available with a sufficient run-out period, that data will move out of the preliminary quarterly dataset and into the annual Medicare Part D Spending by Drug dataset. Due to the preliminary nature of the quarterly dataset, we advise using caution when comparing between the annual and quarterly datasets.

— Source: CMS feed metadata

Keywords: Medicare, Medicare Prescription Drug, Medical Suppliers & Equipment, Drugs Theme: Medicare

Coverage timeline

2025 🟩

1 of 1 years covered — no gaps.

Release history

Reporting period	CMS published	Loaded	Latest file
2025-07-01 – 2025-09-30	2026-04-30	2026-04-30	✓
2025-04-01 – 2025-06-30	2026-01-29	2026-01-29
2025-01-01 – 2025-03-31	2025-12-11	2025-12-11

Data dictionary

📋 11 data columns + 6 lineage columns

Column-level definitions are maintained by CMS in the official Medicare Quarterly Part D Spending by Drug data dictionary.

Data columns

Column	Type
BRND_NAME	TEXT
GNRC_NAME	TEXT
TOT_MFTR	NUMBER
MFTR_NAME	TEXT
YEAR	TEXT
TOT_BENES	NUMBER
TOT_CLMS	NUMBER
TOT_SPNDNG	NUMBER
AVG_SPND_PER_BENE	NUMBER
AVG_SPND_PER_CLM	NUMBER
DRUG_USES	TEXT

Lineage columns (present on every feed table)

Column	Type	Description
ROW_ID	TEXT	Unique row ID for this table (PK)
FILE_ID	TEXT	Source file — joins to FEEDS_FILES.ID (FK)
FILE_FEED_ID	TEXT	Parent feed — joins to FEEDS.ID (FK)
FILE_NAME	TEXT	Source file name as published by CMS
ROWNUM	NUMBER	Row number within the source file
CREATED_AT	TIMESTAMP_NTZ	Timestamp when the record was loaded

Row-level lineage

Every row in this table traces to the exact CMS source file that produced it. The FILE_ID column joins to the FEEDS_FILES catalog table, and FILE_FEED_ID joins to the FEEDS master table:

Trace any row back to its source file and reporting period:

SELECT d.BRND_NAME, d.GNRC_NAME, d.TOT_MFTR,
       ff.TEMPORAL_START, ff.TEMPORAL_END, ff.CMS_FEED_MODIFIED
FROM DWV.MEDICARE_QUARTERLY_PART_D_SPENDING_BY_DRUG d
JOIN DWV.FEEDS_FILES ff ON d.FILE_ID = ff.ID;

Source & provenance

Published by the Centers for Medicare & Medicaid Services (bureau 009:38).

• Official CMS data dictionary

• Medicare Quarterly Part D Spending by Drug Methodology

Frequently asked questions

How often is Medicare Quarterly Part D Spending by Drug updated?

Quarterly. CMS last published this feed on 2026-04-30, and Dataplex loaded it to the warehouse the same day. New releases are added automatically when CMS publishes them.

What years does Medicare Quarterly Part D Spending by Drug cover?

2025 through 2025.

How many records are in Medicare Quarterly Part D Spending by Drug?

84,487 rows across all three reporting periods. Because this feed is time-partitioned, the full table total is the meaningful count — no deduplication needed.

How do I get Medicare Quarterly Part D Spending by Drug data?

It's included in the CMS Data Feeds Dataset on the Snowflake Marketplace (free trial available) and via Databricks Delta Sharing. Once mounted, query DWV.MEDICARE_QUARTERLY_PART_D_SPENDING_BY_DRUG directly — no pipeline setup required.

Related feeds

Medicare Part D Spending by DrugMedicare Part D Prescribers - by Provider and DrugMedicare Part D Opioid Prescribing Rates - by GeographyMedicare Part D Prescribers - by Geography and DrugMedicare Part D Prescribers - by Provider

Get this feed

1. Start a free trial on Snowflake Marketplace or purchase via Databricks

2. Mount the share — the database and DWV schema appear in your account immediately

3. Run the sample query above — no ETL, no pipeline maintenance

Questions about this feed? Contact us at [e-mail].

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