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SUNRISE REAL ESTATE GROUP INC: net property, plant and equipment

Net property, plant and equipment for SUNRISE REAL ESTATE GROUP INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All SUNRISE REAL ESTATE GROUP INC financial histories

What this measure means

Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.

Exact concept: us-gaap:PropertyPlantAndEquipmentNet. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Net property, plant and equipment in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-31306,251USD2026-04-1710-K · 0001104659-26-044877
At date2024-12-31433,302USD2026-04-1710-K · 0001104659-26-044877
At date2023-12-31728,094USD2025-04-2910-K · 0001410578-25-000979
At date2022-12-311,001,077USD2024-10-2210-K/A · 0001410578-24-001694
At date2021-12-311,238,416USD2023-04-2610-K · 0001410578-23-000806
At date2020-12-311,384,776USD2022-04-1910-K · 0001410578-22-000970
At date2019-12-311,203,850USD2021-04-3010-K · 0001104659-21-058970
At date2018-12-311,098,842USD2020-10-2010-K · 0001104659-20-116418
At date2017-12-311,283,901USD2019-08-2310-K · 0001144204-19-041558
At date2016-12-311,412,403USD2018-10-0510-K · 0001144204-18-052711
At date2015-12-317,536,158USD2018-03-0610-K · 0001144204-18-012903
At date2014-12-318,470,080USD2017-10-2410-K · 0001144204-17-053893
At date2013-12-319,116,137USD2017-06-2010-K · 0001144204-17-033242
At date2012-12-319,303,261USD2014-12-1610-K · 0001144204-14-074196
At date2011-12-312,405,829USD2013-05-2210-K · 0001144204-13-030915
At date2010-12-312,571,516USD2012-11-0110-K/A · 0001144204-12-058790

Related financial histories

Inspect the source

Entity
SUNRISE REAL ESTATE GROUP INC / CIK 0001083490
Captured
2026-09-20T05:20:53.730Z
SEC response SHA-256
57de12496a0a1f021aa8ff4d6f2615990390f612337127c965d87ca0577b75eb

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/0001083490.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"])))