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Marriott Vacations Worldwide Corp: capital expenditure payments

Capital expenditure payments for Marriott Vacations Worldwide Corp. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Marriott Vacations Worldwide Corp 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 2009-01-03 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Capital expenditure payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3157,000,000USD2026-03-0210-K · 0001524358-26-000010
2024-01-012024-12-3157,000,000USD2026-03-0210-K · 0001524358-26-000010
2023-01-012023-12-31118,000,000USD2026-03-0210-K · 0001524358-26-000010
2022-01-012022-12-3165,000,000USD2025-02-2810-K · 0001524358-25-000044
2021-01-012021-12-3147,000,000USD2024-02-2710-K · 0001524358-24-000006
2020-01-012020-12-3141,000,000USD2023-02-2710-K · 0001524358-23-000009
2019-01-012019-12-3146,000,000USD2022-03-0110-K · 0001524358-22-000013
2018-01-012018-12-3140,000,000USD2021-03-0110-K · 0001524358-21-000016
2016-12-312017-12-3126,000,000USD2020-03-0210-K · 0001524358-20-000011
2016-01-022016-12-3035,000,000USD2019-03-0110-K · 0001524358-19-000008
2015-01-032016-01-0135,735,000USD2018-02-2710-K · 0001524358-18-000007
2014-01-042015-01-0215,202,000USD2017-02-2310-K · 0001524358-17-000004
2012-12-292014-01-0321,977,000USD2016-02-2510-K · 0001193125-16-477463
2011-12-312012-12-2817,000,000USD2015-02-2610-K · 0001193125-15-064836
2011-01-012011-12-3015,000,000USD2014-02-2710-K · 0001193125-14-072130
2010-01-022010-12-3124,000,000USD2012-03-2110-K · 0001193125-12-125188
2010-01-012010-12-3124,000,000USD2013-02-2210-K · 0001193125-13-070988
2009-01-032010-01-0128,000,000USD2012-03-2110-K · 0001193125-12-125188

Related financial histories

Inspect the source

Entity
Marriott Vacations Worldwide Corp / CIK 0001524358
Captured
2026-09-20T09:14:55.419Z
SEC response SHA-256
b6dfee38cde38957d5be2a5e65f6451707eed0e515b722f1854c5a746675d5a0

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/0001524358.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"])))