Skip to content

HERBALIFE LTD.: common-stock repurchase payments

Common-stock repurchase payments for HERBALIFE LTD. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All HERBALIFE LTD. financial histories

What this measure means

Cash paid to reacquire common stock during the period. This is not an authorization limit or a direct measure of the net change in share count.

Exact concept: us-gaap:PaymentsForRepurchaseOfCommonStock. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Common-stock repurchase payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-318,200,000USD2026-02-1810-K · 0001193125-26-057113
2024-01-012024-12-318,300,000USD2026-02-1810-K · 0001193125-26-057113
2023-01-012023-12-3111,000,000USD2026-02-1810-K · 0001193125-26-057113
2022-01-012022-12-31146,700,000USD2025-02-1910-K · 0000950170-25-023207
2021-01-012021-12-311,011,300,000USD2024-02-1410-K · 0000950170-24-015266
2020-01-012020-12-31923,500,000USD2023-02-1410-K · 0000950170-23-002787
2019-01-012019-12-3116,700,000USD2022-02-2310-K · 0000950170-22-001787
2018-01-012018-12-31750,300,000USD2021-02-1710-K · 0001193125-21-046519
2017-01-012017-12-31844,200,000USD2020-02-1810-K · 0001564590-20-005039
2016-01-012016-12-3113,200,000USD2019-02-1910-K · 0001564590-19-003287
2015-01-012015-12-3116,600,000USD2018-02-2210-K · 0001564590-18-002880
2014-01-012014-12-311,291,900,000USD2017-02-2310-K · 0001564590-17-002230
2013-01-012013-12-31306,500,000USD2016-02-2510-K · 0001564590-16-013384
2012-01-012012-12-31556,800,000USD2015-02-2610-K · 0001193125-15-065723
2011-01-012011-12-31321,639,000USD2014-02-1810-K · 0001193125-14-057107
2010-01-012010-12-31160,008,000USD2013-12-1610-K/A · 0001193125-13-474537
2009-01-012009-12-3174,641,000USD2012-04-1110-K/A · 0001193125-12-158866
2008-01-012008-12-31138,921,000USD2011-02-2210-K · 0000950123-11-016549

Related financial histories

Inspect the source

Entity
HERBALIFE LTD. / CIK 0001180262
Captured
2026-09-20T07:45:12.679Z
SEC response SHA-256
1d5478846a64d1d7f2b0defc1997cdb851bd6624ab72e0abd157cb508cf4613f

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/0001180262.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"])))