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DPL LLC: depreciation, depletion and amortization

Depreciation, depletion and amortization for DPL LLC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All DPL LLC financial histories

What this measure means

Combined depreciation, depletion and amortization for the period. A noncash allocation of asset cost, not a measure of maintenance spending.

Exact concept: us-gaap:DepreciationDepletionAndAmortization. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Depreciation, depletion and amortization in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31119,400,000USD2026-03-0210-K · 0000787250-26-000013
2024-01-012024-12-3195,200,000USD2026-03-0210-K · 0000787250-26-000013
2023-01-012023-12-3182,100,000USD2026-03-0210-K · 0000787250-26-000013
2022-01-012022-12-3180,000,000USD2025-03-0510-K · 0000787250-25-000012
2021-01-012021-12-3176,100,000USD2024-02-2710-K · 0000787250-24-000006
2020-01-012020-12-3173,300,000USD2023-03-0110-K · 0000787250-23-000006
2019-01-012019-12-3172,300,000USD2022-02-2810-K · 0000787250-22-000005
2018-01-012018-12-3176,200,000USD2021-02-2510-K · 0000787250-21-000007
2017-01-012017-12-3176,100,000USD2020-02-2810-K · 0000787250-20-000005
2016-01-012016-12-3173,600,000USD2019-02-2710-K · 0000787250-19-000013
2015-01-012015-12-31134,600,000USD2018-02-2710-K · 0000787250-18-000008
2014-01-012014-12-31135,600,000USD2017-02-2710-K · 0000787250-17-000009
2013-01-012013-12-31129,200,000USD2016-03-1710-K/A · 0000787250-16-000042
2010-01-012010-12-31139,400,000USD2011-02-1810-K · 0001104659-11-008106
2009-01-012009-12-31145,500,000USD2011-02-1810-K · 0001104659-11-008106
2008-01-012008-12-31137,700,000USD2011-02-1810-K · 0001104659-11-008106

Related financial histories

Inspect the source

Entity
DPL LLC / CIK 0000787250
Captured
2026-09-21T17:17:00.050Z
SEC response SHA-256
c9d42d6abeb32e5898db54d944cd4f12dc32b62c14b1c426563e8c761972b38a

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/0000787250.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"])))