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CORECARD CORPORATION: accumulated depreciation on property, plant and equipment

Accumulated depreciation on property, plant and equipment for CORECARD CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CORECARD CORPORATION financial histories

What this measure means

Cumulative depreciation, depletion and amortization recorded against property, plant and equipment. It measures cost allocation to date, not physical wear or market value.

Exact concept: us-gaap:AccumulatedDepreciationDepletionAndAmortizationPropertyPlantAndEquipment. 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 2011-12-31 to 2024-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Accumulated depreciation on property, plant and equipment in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2024-12-3124,012,000USD2025-02-2810-K · 0001437749-25-005708
At date2023-12-3120,446,000USD2025-02-2810-K · 0001437749-25-005708
At date2022-12-3114,278,000USD2024-03-0110-K · 0001437749-24-006215
At date2021-12-318,968,000USD2023-03-0210-K · 0001437749-23-005161
At date2020-12-315,395,000USD2022-03-0310-K · 0001437749-22-005090
At date2019-12-313,322,000USD2021-03-0410-K · 0001437749-21-004982
At date2018-12-312,315,000USD2020-03-1610-K · 0001437749-20-005308
At date2017-12-311,718,000USD2019-03-1310-K · 0001437749-19-004719
At date2016-12-311,458,000USD2018-03-1510-K · 0001437749-18-004712
At date2015-12-312,305,000USD2017-03-1710-K · 0001437749-17-004786
At date2014-12-312,088,000USD2016-03-1610-K · 0001437749-16-027785
At date2013-12-313,627,000USD2015-03-1710-K/A · 0001437749-15-005270
At date2012-12-313,959,000USD2014-03-1710-K · 0001437749-14-004359
At date2011-12-313,482,000USD2013-03-2210-K · 0001437749-13-003364

Related financial histories

Inspect the source

Entity
CORECARD CORPORATION / CIK 0000320340
Captured
2026-09-21T17:16:50.409Z
SEC response SHA-256
f4f6b11764b50af2ebe0dd1bf3ad3fcce13de52f7ee2f597a28d66b11db9a3e5

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/0000320340.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"])))