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Noah Holdings Ltd: common-stock repurchase payments

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

All Noah Holdings 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 2012-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Coverage by original unit

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Common-stock repurchase payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3152,295,000CNY2026-04-2920-F · 0001104659-26-050892
2024-01-012024-12-3153,345,000CNY2026-04-2920-F · 0001104659-26-050892
2021-01-012021-12-31372,376,000CNY2024-04-2420-F · 0001104659-24-050790
2020-01-012020-12-31281,610,000CNY2023-04-2420-F · 0001104659-23-048573
2017-01-012017-12-3131,288,000CNY2020-04-2420-F · 0001104659-20-050998
2016-01-012016-12-3112,602,000CNY2019-04-2520-F · 0001193125-19-117781
2015-01-012015-12-3144,586,000CNY2018-04-3020-F · 0001193125-18-140948
2013-01-012013-12-3119,573,849CNY2016-04-2720-F · 0001193125-16-557500
2025-01-012025-12-317,478,000USD2026-04-2920-F · 0001104659-26-050892
2024-01-012024-12-317,308,000USD2025-04-2420-F · 0001410578-25-000852
2021-01-012021-12-3158,434,000USD2022-04-0620-F · 0001104659-22-042988
2020-01-012020-12-3143,158,000USD2021-04-3020-F · 0001104659-21-058109
2017-01-012017-12-314,809,000USD2018-04-3020-F · 0001193125-18-140948
2016-01-012016-12-311,815,088USD2017-04-2120-F · 0001193125-17-131403
2015-01-012015-12-316,882,898USD2016-04-2720-F · 0001193125-16-557500
2014-01-012014-12-3111,675,955USD2015-04-2420-F · 0001193125-15-145206
2013-01-012013-12-3111,675,955USD2014-03-2420-F · 0001193125-14-112429
2012-01-012012-12-318,520,763USD2013-04-2620-F · 0001193125-13-177995

Related financial histories

Inspect the source

Entity
Noah Holdings Ltd / CIK 0001499543
Captured
2026-09-20T09:11:20.233Z
SEC response SHA-256
31348aaff570a1d3552c8d9744025ac5a369f2bfd9f86af455a72c938304a653

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/0001499543.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"])))