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MARRIOTT INTERNATIONAL INC /MD/: interest paid, net

Interest paid, net for MARRIOTT INTERNATIONAL INC /MD/. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MARRIOTT INTERNATIONAL INC /MD/ financial histories

What this measure means

Cash interest paid during the period, net of amounts capitalized where the filer reports it that way. It differs from interest expense recognized.

Exact concept: us-gaap:InterestPaidNet. 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 2007-12-29 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Interest paid, net in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31698,000,000USD2026-02-1010-K · 0001048286-26-000007
2024-01-012024-12-31599,000,000USD2026-02-1010-K · 0001048286-26-000007
2023-01-012023-12-31476,000,000USD2026-02-1010-K · 0001048286-26-000007
2022-01-012022-12-31345,000,000USD2025-02-1110-K · 0001628280-25-004818
2021-01-012021-12-31391,000,000USD2024-02-1310-K · 0001628280-24-004372
2020-01-012020-12-31377,000,000USD2023-02-1410-K · 0001628280-23-003485
2019-01-012019-12-31348,000,000USD2022-02-1510-K · 0001628280-22-002666
2018-01-012018-12-31290,000,000USD2021-02-1810-K · 0001628280-21-002433
2017-01-012017-12-31234,000,000USD2020-02-2710-K · 0001628280-20-002376
2016-01-012016-12-31165,000,000USD2019-03-0110-K · 0001628280-19-002337
2015-01-012015-12-31114,000,000USD2018-02-1510-K · 0001628280-18-001756
2014-01-012014-12-3179,000,000USD2017-02-2110-K · 0001628280-17-001506
2012-12-292013-12-3183,000,000USD2016-02-1810-K · 0001628280-16-011346
2011-12-312012-12-2883,000,000USD2015-02-1910-K · 0001628280-15-000842
2011-01-012011-12-30130,000,000USD2014-02-2010-K · 0001445305-14-000495
2010-01-022010-12-31148,000,000USD2013-02-2010-K · 0001445305-13-000255
2009-01-032010-01-0196,000,000USD2012-02-1610-K · 0001445305-12-000342
2007-12-292009-01-02110,000,000USD2011-02-1810-K · 0001193125-11-039869

Related financial histories

Inspect the source

Entity
MARRIOTT INTERNATIONAL INC /MD/ / CIK 0001048286
Captured
2026-09-20T05:16:56.055Z
SEC response SHA-256
af2fea717f696acfa6f5f2436aa6e4175c3c56ab1628a2e3198964300f32422a

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/0001048286.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"])))