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Bank of Marin Bancorp: net property, plant and equipment

Net property, plant and equipment for Bank of Marin Bancorp. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Bank of Marin Bancorp 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 2019-12-31. 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 startPeriod endValueUnitFiledSource filing
At date2019-12-316,070,000USD2020-03-1310-K · 0001403475-20-000008
At date2018-12-317,376,000USD2020-03-1310-K · 0001403475-20-000008
At date2017-12-318,612,000USD2019-03-1510-K · 0001403475-19-000006
At date2016-12-318,520,000USD2018-03-1510-K · 0001403475-18-000006
At date2015-12-319,305,000USD2017-03-1410-K · 0001403475-17-000012
At date2014-12-319,859,000USD2016-03-1110-K · 0001403475-16-000064
At date2013-12-319,110,000USD2015-03-1210-K · 0001403475-15-000012
At date2012-12-319,344,000USD2014-03-1710-K · 0001403475-14-000013
At date2011-12-319,498,000USD2013-03-1410-K · 0001403475-13-000017
At date2010-12-318,419,000USD2012-03-1210-K · 0001140361-12-014968

Related financial histories

Inspect the source

Entity
Bank of Marin Bancorp / CIK 0001403475
Captured
2026-09-20T08:00:54.322Z
SEC response SHA-256
1a11373b23a5b0b8c3a0df589c5f798a348ccd15239e21bb20c32f1d9bc27001

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/0001403475.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"])))