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Sterling Real Estate Trust: net finite-lived intangible assets

Net finite-lived intangible assets for Sterling Real Estate Trust. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Sterling Real Estate Trust financial histories

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 2011-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Net finite-lived intangible assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-311,998,000USD2026-03-1110-K · 0001104659-26-026323
At date2024-12-312,541,000USD2026-03-1110-K · 0001104659-26-026323
At date2023-12-312,983,000USD2025-03-1910-K · 0001558370-25-003293
At date2022-12-315,290,000USD2024-03-1410-K · 0001558370-24-003150
At date2021-12-316,246,000USD2023-03-1510-K · 0001558370-23-003860
At date2020-12-317,367,000USD2022-03-1610-K · 0001558370-22-003743
At date2019-12-319,133,000USD2021-03-3110-K · 0001558370-21-003791
At date2018-12-3110,976,000USD2020-03-1310-K · 0001558370-20-002654
At date2017-12-3113,263,000USD2019-03-1510-K · 0001558370-19-002132
At date2016-12-3115,852,000USD2018-03-1510-K · 0001558370-18-002105
At date2015-12-3118,184,000USD2017-03-1510-K · 0001558370-17-001835
At date2014-12-319,222,000USD2016-03-1410-K · 0001558370-16-004086
At date2013-12-3110,479,000USD2015-03-3010-K · 0001558370-15-000414
At date2012-12-317,944,000USD2013-03-2910-K · 0001193125-13-133935
At date2011-12-316,658,000USD2013-03-2910-K · 0001193125-13-133935

Related financial histories

Inspect the source

Entity
Sterling Real Estate Trust / CIK 0001412502
Captured
2026-09-21T17:19:28.332Z
SEC response SHA-256
a93dbd9dc56b45ed61feb1fd4c642054725d5cf4d2f53abfd9d91ce3b552b2b8

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/0001412502.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"])))