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17 Education & Technology Group Inc.: financing cash flow

Financing cash flow for 17 Education & Technology Group Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All 17 Education & Technology Group Inc. financial histories

What this measure means

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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 2018-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

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

Financing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3125,460,000CNY2026-04-2920-F · 0001193125-26-191472
2024-01-012024-12-3121,333,000CNY2026-04-2920-F · 0001193125-26-191472
2023-01-012023-12-31-51,357,000CNY2026-04-2920-F · 0001193125-26-191472
2022-01-012022-12-31-33,857,000CNY2025-04-2520-F · 0000950170-25-058824
2021-01-012021-12-31952,000CNY2024-04-2520-F · 0000950170-24-047905
2020-01-012020-12-312,797,421,000CNY2023-04-2620-F · 0000950170-23-014550
2019-01-012019-12-3184,449,000CNY2022-04-2720-F · 0001564590-22-016093
2018-01-012018-12-311,550,372,000CNY2021-04-0920-F · 0001564590-21-018346
2025-01-012025-12-313,641,000USD2026-04-2920-F · 0001193125-26-191472
2024-01-012024-12-312,922,000USD2025-04-2520-F · 0000950170-25-058824
2023-01-012023-12-31-7,234,000USD2024-04-2520-F · 0000950170-24-047905
2022-01-012022-12-31-4,909,000USD2023-04-2620-F · 0000950170-23-014550
2021-01-012021-12-31149,000USD2022-04-2720-F · 0001564590-22-016093
2020-01-012020-12-31428,724,000USD2021-04-0920-F · 0001564590-21-018346

Related financial histories

Inspect the source

Entity
17 Education & Technology Group Inc. / CIK 0001821468
Captured
2026-09-21T17:35:10.024Z
SEC response SHA-256
128265451da7b8c9cc662d1ec4ae96b245dde6c3c3c252d39d3c27790dbdc9aa

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/0001821468.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"])))