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X Financial: total assets

Total assets for X Financial. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All X Financial 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 2017-12-31 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

Total assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3114,665,744,467CNY2026-04-3020-F · 0001104659-26-052016
At date2024-12-3111,819,289,603CNY2026-04-3020-F · 0001104659-26-052016
At date2023-12-3111,650,024,640CNY2025-04-2520-F · 0001410578-25-000892
At date2022-12-318,837,663,448CNY2024-12-0520-F/A · 0001410578-24-002071
At date2021-12-317,342,738,892CNY2023-04-2720-F · 0001104659-23-051321
At date2020-12-317,498,009,708CNY2022-04-2820-F · 0001104659-22-051593
At date2019-12-318,280,632,478CNY2021-05-1420-F · 0001104659-21-066950
At date2018-12-314,636,969,497CNY2020-06-0420-F · 0001104659-20-069741
At date2017-12-313,887,694,725CNY2019-04-2520-F · 0001104659-19-023556
At date2025-12-312,097,173,566USD2026-04-3020-F · 0001104659-26-052016
At date2024-12-311,619,236,036USD2025-04-2520-F · 0001410578-25-000892
At date2023-12-311,640,871,650USD2024-12-0520-F/A · 0001410578-24-002071
At date2022-12-311,281,340,754USD2023-04-2720-F · 0001104659-23-051321
At date2021-12-311,152,235,961USD2022-04-2820-F · 0001104659-22-051593
At date2020-12-311,149,120,262USD2021-05-1420-F · 0001104659-21-066950
At date2019-12-311,189,438,432USD2020-06-0420-F · 0001104659-20-069741
At date2018-12-31674,419,240USD2019-04-2520-F · 0001104659-19-023556

Related financial histories

Inspect the source

Entity
X Financial / CIK 0001725033
Captured
2026-09-21T17:25:14.959Z
SEC response SHA-256
57a92bbe1100ce4a9429868478d36f87181652569abc3a5ca051f14a5b7adb36

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/0001725033.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"])))