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KILROY REALTY CORP: operating expenses

Operating expenses for KILROY REALTY CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All KILROY REALTY CORP financial histories

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. 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

Operating expenses in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31801,652,000USD2026-02-1110-K · 0001628280-26-007051
2024-01-012024-12-31800,127,000USD2026-02-1110-K · 0001628280-26-007051
2023-01-012023-12-31800,612,000USD2026-02-1110-K · 0001628280-26-007051
2022-01-012022-12-31772,310,000USD2025-02-1310-K · 0001025996-25-000052
2021-01-012021-12-31672,373,000USD2024-02-0910-K · 0001025996-24-000094
2020-01-012020-12-31659,292,000USD2023-02-1010-K · 0001025996-23-000072
2019-01-012019-12-31615,131,000USD2022-02-1010-K · 0001025996-22-000074
2018-01-012018-12-31561,220,000USD2021-02-1210-K · 0001025996-21-000062
2017-01-012017-12-31512,493,000USD2020-02-1310-K · 0001025996-20-000050
2016-01-012016-12-31448,742,000USD2019-02-1510-K · 0001025996-19-000051
2015-01-012015-12-31412,298,000USD2018-02-1310-K · 0001025996-18-000107
2014-01-012014-12-31398,892,000USD2017-02-1510-K · 0001025996-17-000049
2013-01-012013-12-31367,941,000USD2016-02-1210-K · 0001025996-16-000298
2012-01-012012-12-31300,527,000USD2015-02-1010-K · 0001025996-15-000075
2011-01-012011-12-31240,794,000USD2014-06-0610-K · 0001025996-14-000195
2010-12-312011-12-31256,143,000USD2013-02-1210-K · 0001025996-13-000036
2010-01-012010-12-31219,502,000USD2011-02-1110-K · 0000950123-11-012065
2009-12-312010-12-31196,739,000USD2013-02-1210-K · 0001025996-13-000036
2009-01-012009-12-31203,770,000USD2011-02-1110-K · 0000950123-11-012065
2008-12-312009-12-31196,862,000USD2012-02-0810-K · 0001025996-12-000038
2008-01-012008-12-31198,067,000USD2011-02-1110-K · 0000950123-11-012065

Related financial histories

Inspect the source

Entity
KILROY REALTY CORP / CIK 0001025996
Captured
2026-09-20T05:14:11.367Z
SEC response SHA-256
e18804d51ecc14ca070c84e1381335619d21e249f6db5c629425a20c55071b0a

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/0001025996.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"])))