Phoenix New Media Limited: interest expense

Name: Phoenix New Media Limited: interest expense
Creator: Phoenix New Media Limited

Interest expense for Phoenix New Media Limited. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Phoenix New Media Limited financial histories

What this measure means

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

Exact concept: us-gaap:InterestExpense. 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 2014-01-01 to 2019-12-31. The SEC response was captured on 2026-09-20.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Coverage by original unit

CNY: 2014-01-01 to 2019-12-31. This unit’s selected history ends more than two years before capture.
USD: 2016-01-01 to 2019-12-31. This unit’s selected history ends more than two years before capture.

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

Interest expense in original reported units, latest-filed observation per period
Period start	Period end	Value	Unit	Filed	Source filing
2019-01-01	2019-12-31	5,089,000	CNY	2020-04-28	20-F · 0001564590-20-019287
2018-01-01	2018-12-31	13,544,000	CNY	2020-04-28	20-F · 0001564590-20-019287
2017-01-01	2017-12-31	22,221,000	CNY	2020-04-28	20-F · 0001564590-20-019287
2016-01-01	2016-12-31	7,061,000	CNY	2019-04-26	20-F · 0001104659-19-023874
2015-01-01	2015-12-31	2,328,000	CNY	2018-04-26	20-F · 0001104659-18-026859
2014-01-01	2014-12-31	0	CNY	2017-04-28	20-F · 0001104659-17-027241
2019-01-01	2019-12-31	731,000	USD	2020-04-28	20-F · 0001564590-20-019287
2018-01-01	2018-12-31	1,970,000	USD	2019-04-26	20-F · 0001104659-19-023874
2017-01-01	2017-12-31	3,415,000	USD	2018-04-26	20-F · 0001104659-18-026859
2016-01-01	2016-12-31	1,017,000	USD	2017-04-28	20-F · 0001104659-17-027241

Related financial histories

Inspect the source

Entity: Phoenix New Media Limited / CIK 0001509646
Captured: 2026-09-20T09:12:50.785Z
SEC response SHA-256: 872b3292fee11a15c36ea6ad00916e22c69389532d2a51bce4f679f0a396f23d

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/0001509646.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"])))