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ESSA Bancorp, Inc.: accumulated depreciation on property, plant and equipment

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

All ESSA Bancorp, Inc. 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 2011-09-30 to 2024-09-30. 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 date2024-09-3024,819,000USD2024-12-1310-K · 0000950170-24-136130
At date2023-09-3023,871,000USD2024-12-1310-K · 0000950170-24-136130
At date2022-09-3022,947,000USD2023-12-1410-K · 0000950170-23-070332
At date2021-09-3022,369,000USD2022-12-1410-K · 0001564590-22-039339
At date2020-09-3021,157,000USD2021-12-1410-K · 0001564590-21-060332
At date2019-09-3020,237,000USD2020-12-1410-K · 0001564590-20-056993
At date2018-09-3019,337,000USD2019-12-1610-K · 0001564590-19-046041
At date2017-09-3018,524,000USD2018-12-1410-K · 0001564590-18-030936
At date2016-09-3017,447,000USD2017-12-1410-K · 0001564590-17-024937
At date2015-09-3016,077,000USD2016-12-1410-K · 0001564590-16-030211
At date2014-09-3014,946,000USD2015-12-1410-K · 0001193125-15-402516
At date2013-09-3013,849,000USD2014-12-1510-K · 0001193125-14-442517
At date2012-09-3012,840,000USD2013-12-1610-K · 0001193125-13-474578
At date2011-09-3011,982,000USD2012-12-1410-K · 0001193125-12-503174

Related financial histories

Inspect the source

Entity
ESSA Bancorp, Inc. / CIK 0001382230
Captured
2026-09-21T17:19:14.870Z
SEC response SHA-256
7bed85c722a34593ba85be1a31a979da05e49e951bc1e107702c9bdfb860b95e

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/0001382230.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"])))