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VERTEX PHARMACEUTICALS INC / MA: total assets

Total assets for VERTEX PHARMACEUTICALS INC / MA. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All VERTEX PHARMACEUTICALS INC / MA financial histories

What this measure means

Resources recognized on the balance sheet. Book assets are not the market value of the business.

Exact concept: us-gaap:Assets. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Total assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3125,643,000,000USD2026-02-1310-K · 0000875320-26-000056
At date2024-12-3122,533,200,000USD2026-02-1310-K · 0000875320-26-000056
At date2023-12-3122,730,200,000USD2025-02-1310-K · 0000875320-25-000053
At date2022-12-3118,150,900,000USD2024-02-1510-K · 0000875320-24-000062
At date2021-12-3113,432,500,000USD2023-02-1010-K · 0000875320-23-000007
At date2020-12-3111,751,800,000USD2022-02-0910-K · 0000875320-22-000007
At date2019-12-318,318,465,000USD2021-02-1110-K · 0000875320-21-000006
At date2019-01-016,261,958,000USD2020-02-1310-K · 0000875320-20-000007
At date2018-12-316,245,898,000USD2020-02-1310-K · 0000875320-20-000007
At date2018-01-013,558,639,000USD2019-02-1310-K · 0000875320-19-000006
At date2017-12-313,546,014,000USD2019-02-1310-K · 0000875320-19-000006
At date2016-12-312,896,787,000USD2018-02-1510-K · 0000875320-18-000009
At date2015-12-312,498,587,000USD2017-02-2310-K · 0000875320-17-000017
At date2014-12-312,334,679,000USD2016-02-1610-K · 0000875320-16-000067
At date2013-12-312,319,041,000USD2015-02-1310-K · 0000875320-15-000012
At date2012-12-312,759,288,000USD2014-02-1110-K · 0000875320-14-000015
At date2011-12-312,204,280,000USD2013-03-0110-K · 0000875320-13-000009
At date2010-12-311,725,446,000USD2012-02-2210-K · 0001047469-12-001298
At date2009-12-311,955,488,000USD2011-02-1710-K · 0001047469-11-001025

Related financial histories

Inspect the source

Entity
VERTEX PHARMACEUTICALS INC / MA / CIK 0000875320
Captured
2026-09-20T05:00:53.913Z
SEC response SHA-256
3f73be48f9279b6b1c07339b9c5ea0e2a7f5d757cd6f8c4015e141ec7ed8e4b8

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000875320.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))