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LIVE NATION ENTERTAINMENT, INC.: interest expense

Interest expense for LIVE NATION ENTERTAINMENT, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LIVE NATION ENTERTAINMENT, INC. financial histories

What this measure means

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

Exact concept: us-gaap:InterestExpense. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Interest expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31316,033,000USD2026-02-1910-K · 0001335258-26-000009
2024-01-012024-12-31325,974,000USD2026-02-1910-K · 0001335258-26-000009
2023-01-012023-12-31350,244,000USD2026-02-1910-K · 0001335258-26-000009
2022-01-012022-12-31278,483,000USD2025-02-2110-K · 0001335258-25-000028
2021-01-012021-12-31282,440,000USD2024-02-2210-K · 0001335258-24-000017
2020-01-012020-12-31226,832,000USD2023-02-2310-K · 0001335258-23-000014
2019-01-012019-12-31157,521,000USD2022-02-2310-K · 0001335258-22-000019
2018-01-012018-12-31140,976,000USD2021-03-0110-K · 0001335258-21-000009
2017-01-012017-12-31107,770,000USD2020-02-2710-K · 0001335258-20-000028
2016-01-012016-12-31106,506,000USD2019-02-2810-K · 0001335258-19-000024
2015-01-012015-12-31102,881,000USD2018-02-2710-K · 0001335258-18-000023
2014-01-012014-12-31106,312,000USD2017-02-2310-K · 0001335258-17-000031
2013-01-012013-12-31111,659,000USD2016-02-2510-K · 0001335258-16-000167
2012-01-012012-12-31123,740,000USD2015-02-2610-K · 0001335258-15-000026
2011-01-012011-12-31120,414,000USD2014-02-2410-K · 0001335258-14-000027
2010-01-012010-12-31116,527,000USD2013-02-2610-K · 0001193125-13-077102
2009-01-012009-12-3166,365,000USD2012-02-2410-K · 0001193125-12-075895

Related financial histories

Inspect the source

Entity
LIVE NATION ENTERTAINMENT, INC. / CIK 0001335258
Captured
2026-09-20T07:53:42.862Z
SEC response SHA-256
1f79733d82bfb9f1e2b845e0b64b9f57bc5f5a3c73186879dfa6d23067a379db

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/0001335258.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"])))