Camden Property Trust: net finite-lived intangible assets
Camden Property Trust net finite-lived intangible assets: $0 at 2015-12-31, down 100.0% on the year. 4 values since 2012, each linked to its SEC filing.
All Camden Property Trust financial histories
At a glance
Camden Property Trust reported net finite-lived intangible assets of $0 at 2015-12-31, down 100.0% from $500.0 thousand a year earlier. Across the last four reported years it ranged from $0 (2015-12-31) to $2.60 million (2012-12-31).
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Finite-lived intangible assets after amortization. This excludes goodwill and should not be combined with indefinite-lived intangible assets without checking scope.
Exact concept: us-gaap:FiniteLivedIntangibleAssetsNet. 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 2012-12-31 to 2015-12-31. 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
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2015-12-31 | 0 | USD | 2016-02-19 | 10-K · 0000906345-16-000044 SEC |
| - | 2014-12-31 | 500,000 | USD | 2016-02-19 | 10-K · 0000906345-16-000044 SEC |
| - | 2013-12-31 | 1,200,000 | USD | 2015-02-20 | 10-K · 0000906345-15-000007 SEC |
| - | 2012-12-31 | 2,600,000 | USD | 2014-02-21 | 10-K · 0000906345-14-000005 SEC |
Related CAMDEN PROPERTY TRUST histories
Inspect the source
- Entity
- CAMDEN PROPERTY TRUST / CIK 0000906345
- Captured
- SEC response SHA-256
12b3949a8b31f87519a7d77dd27a1f4e90eb9312933e2f9e5f5eb68ffc5ad974
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.
- Get an API key and run your first validation
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- Read the MCP server source and integration examples
The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000906345.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"])))