Plastec Technologies, Ltd.: net property, plant and equipment

Name: Plastec Technologies, Ltd.: net property, plant and equipment
Creator: Plastec Technologies, Ltd.

Net property, plant and equipment for Plastec Technologies, Ltd. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Plastec Technologies, Ltd. 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 2011-04-30 to 2023-12-31. 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.

Selected filing history

Net property, plant and equipment in original reported units, latest-filed observation per period
Period start	Period end	Value	Unit	Filed	Source filing
At date	2023-12-31	7,000	HKD	2025-05-15	20-F · 0001410578-25-001338
At date	2021-12-31	0	HKD	2022-09-06	20-F/A · 0001410578-22-002755
At date	2020-12-31	60,000	HKD	2022-09-06	20-F/A · 0001410578-22-002755
At date	2019-12-31	423,000	HKD	2021-05-14	20-F · 0001104659-21-066824
At date	2018-12-31	786,000	HKD	2020-05-13	20-F · 0001104659-20-060492
At date	2017-12-31	114,209,000	HKD	2019-05-15	20-F · 0001144204-19-026209
At date	2016-12-31	153,782,000	HKD	2018-04-30	20-F · 0001144204-18-023571
At date	2015-12-31	145,715,000	HKD	2017-05-15	20-F · 0001144204-17-027082
At date	2014-12-31	283,500,000	HKD	2016-04-06	20-F · 0001144204-16-092975
At date	2013-12-31	364,149,000	HKD	2015-04-22	20-F · 0001144204-15-024210
At date	2012-12-31	440,383,000	HKD	2015-04-22	20-F · 0001144204-15-024210
At date	2012-04-30	524,137,000	HKD	2015-04-22	20-F · 0001144204-15-024210
At date	2011-04-30	551,079,000	HKD	2013-04-30	20-F · 0001144204-13-025120

Related financial histories

Inspect the source

Entity: Plastec Technologies, Ltd. / CIK 0001433309
Captured: 2026-09-20T09:02:41.008Z
SEC response SHA-256: cf4b5a43bd4fd766c3e43344162a2a5fabd8aa1327866bec066af37167006276

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/0001433309.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"])))