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Phoenix New Media Limited: net income or loss

Net income or loss 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

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2009-01-01 to 2016-12-31. 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

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

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2016-01-012016-12-3180,611,000CNY2017-04-2820-F · 0001104659-17-027241
2015-01-012015-12-3173,584,000CNY2017-04-2820-F · 0001104659-17-027241
2014-01-012014-12-31263,091,000CNY2017-04-2820-F · 0001104659-17-027241
2013-01-012013-12-31279,554,000CNY2016-04-2820-F · 0001104659-16-114871
2012-01-012012-12-31107,359,000CNY2015-04-3020-F · 0001104659-15-032006
2011-01-012011-12-31102,475,000CNY2014-04-2520-F · 0001104659-14-030274
2010-01-012010-12-3174,083,000CNY2013-04-2620-F · 0001104659-13-033268
2009-01-012009-12-31287,000CNY2012-05-2420-F/A · 0001193125-12-245998
2016-01-012016-12-3111,609,000USD2017-04-2820-F · 0001104659-17-027241
2015-01-012015-12-3111,360,000USD2016-04-2820-F · 0001104659-16-114871
2014-01-012014-12-3142,402,000USD2015-04-3020-F · 0001104659-15-032006
2013-01-012013-12-3146,178,000USD2014-04-2520-F · 0001104659-14-030274
2012-01-012012-12-3117,232,000USD2013-04-2620-F · 0001104659-13-033268
2011-01-012011-12-3116,283,000USD2012-05-2420-F/A · 0001193125-12-245998

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"])))