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AXIS CAPITAL HOLDINGS LIMITED: selling, general and administrative expense

Selling, general and administrative expense for AXIS CAPITAL HOLDINGS LIMITED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All AXIS CAPITAL HOLDINGS LIMITED financial histories

What this measure means

Selling and general administrative costs reported under this concept. It is an expense category, not a substitute for total operating expenses.

Exact concept: us-gaap:SellingGeneralAndAdministrativeExpense. 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 2026-09-20.

Selected filing history

Selling, general and administrative expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31703,931,000USD2026-02-2710-K · 0001214816-26-000097
2024-01-012024-12-31666,202,000USD2026-02-2710-K · 0001214816-26-000097
2023-01-012023-12-31684,446,000USD2026-02-2710-K · 0001214816-26-000097
2022-01-012022-12-31680,343,000USD2025-02-2610-K · 0001214816-25-000056
2021-01-012021-12-31663,304,000USD2024-02-2710-K · 0001214816-24-000024
2020-01-012020-12-31579,790,000USD2023-02-2710-K · 0001214816-23-000013
2019-01-012019-12-31634,831,000USD2022-02-2510-K · 0001214816-22-000011
2018-01-012018-12-31627,389,000USD2021-02-2610-K · 0001214816-21-000014
2017-01-012017-12-31579,428,000USD2020-02-2710-K · 0001214816-20-000011
2016-01-012016-12-31602,717,000USD2019-02-2610-K · 0001214816-19-000010
2015-01-012015-12-31596,821,000USD2018-02-2810-K · 0001214816-18-000019
2014-01-012014-12-31621,876,000USD2017-02-2710-K · 0001214816-17-000014
2013-01-012013-12-31575,390,000USD2016-02-2510-K · 0001214816-16-000057
2012-01-012012-12-31560,981,000USD2015-02-2310-K · 0001214816-15-000012
2011-01-012011-12-31459,151,000USD2014-02-2110-K · 0001214816-14-000016
2010-01-012010-12-31449,885,000USD2013-02-2210-K · 0001214816-13-000012
2009-01-012009-12-31370,157,000USD2012-02-2210-K · 0001193125-12-071653
2008-01-012008-12-31335,758,000USD2011-02-1810-K · 0001193125-11-040175

Related financial histories

Inspect the source

Entity
AXIS CAPITAL HOLDINGS LIMITED / CIK 0001214816
Captured
2026-09-20T07:45:51.028Z
SEC response SHA-256
02adbf00caab3c2befc4ae193b2d12520f98cf26be229638f0c2ece22fa53378

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/0001214816.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"])))