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DICK’S SPORTING GOODS, INC.: capital expenditure payments

Capital expenditure payments for DICK’S SPORTING GOODS, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All DICK’S SPORTING GOODS, INC. financial histories

What this measure means

Cash payments to acquire property, plant and equipment. This taxonomy concept does not capture every form of investment or acquisition.

Exact concept: us-gaap:PaymentsToAcquirePropertyPlantAndEquipment. 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 2008-02-03 to 2026-01-31. The SEC response was captured on 2026-09-19.

Selected filing history

Capital expenditure payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-02-022026-01-311,137,176,000USD2026-03-2710-K · 0001089063-26-000007
2024-02-042025-02-01802,565,000USD2026-03-2710-K · 0001089063-26-000007
2023-01-292024-02-03587,426,000USD2026-03-2710-K · 0001089063-26-000007
2022-01-302023-01-28364,075,000USD2025-03-2710-K · 0001089063-25-000012
2021-01-312022-01-29308,261,000USD2024-03-2810-K · 0001089063-24-000037
2020-02-022021-01-30224,027,000USD2023-03-2310-K · 0001089063-23-000023
2019-02-032020-02-01217,461,000USD2022-03-2310-K · 0001089063-22-000031
2018-02-042019-02-02198,219,000USD2021-03-2410-K · 0001089063-21-000036
2017-01-292018-02-03474,347,000USD2020-03-2010-K · 0001089063-20-000014
2016-01-312017-01-28421,920,000USD2019-03-2910-K · 0001089063-19-000017
2015-02-012016-01-30370,028,000USD2018-03-3010-K · 0001089063-18-000029
2014-02-022015-01-31349,007,000USD2017-03-2410-K · 0001089063-17-000010
2013-02-032014-02-01285,668,000USD2016-03-2510-K · 0001089063-16-000107
2012-01-292013-02-02219,026,000USD2015-03-2710-K · 0001089063-15-000020
2011-01-302012-01-28201,807,000USD2014-03-2810-K · 0001089063-14-000046
2010-01-312011-01-29159,067,000USD2013-03-2210-K · 0001047469-13-003238
2009-02-012010-01-30140,269,000USD2012-03-1610-K · 0001047469-12-002799
2008-02-032009-01-31191,423,000USD2011-03-1810-K · 0000950123-11-026789

Related financial histories

Inspect the source

Entity
DICK’S SPORTING GOODS, INC. / CIK 0001089063
Captured
2026-09-19T11:16:22.479Z
SEC response SHA-256
dec28c710db48f1768499d5405453c56bf7dc913757d55a4e01078dd84beacab

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/0001089063.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"])))