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CACI INTERNATIONAL INC: share-based compensation expense

Share-based compensation expense for CACI INTERNATIONAL INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CACI INTERNATIONAL INC financial histories

What this measure means

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. 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 2008-07-01 to 2026-06-30. The SEC response was captured on 2026-09-19.

Selected filing history

Share-based compensation expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-07-012026-06-3079,514,000USD2026-08-0610-K · 0001628280-26-054195
2024-07-012025-06-3060,177,000USD2026-08-0610-K · 0001628280-26-054195
2023-07-012024-06-3053,904,000USD2026-08-0610-K · 0001628280-26-054195
2022-07-012023-06-3039,643,000USD2025-08-0710-K · 0001628280-25-038739
2021-07-012022-06-3031,732,000USD2024-08-0810-K · 0000016058-24-000132
2020-07-012021-06-3030,463,000USD2023-08-1010-K · 0000016058-23-000086
2019-07-012020-06-3029,302,000USD2022-08-1110-K · 0001564590-22-029077
2018-07-012019-06-3025,272,000USD2021-08-1710-K · 0001564590-21-044839
2017-07-012018-06-3023,628,000USD2020-08-1410-K · 0001564590-20-040205
2016-07-012017-06-3021,945,000USD2019-08-2110-K · 0001564590-19-032721
2015-07-012016-06-3017,919,000USD2018-08-2010-K · 0001564590-18-022021
2014-07-012015-06-3014,072,000USD2017-08-2110-K · 0001564590-17-017873
2013-07-012014-06-3011,557,000USD2016-08-2410-K · 0001564590-16-024672
2012-07-012013-06-308,832,000USD2015-08-2110-K · 0001564590-15-007527
2011-07-012012-06-3015,499,000USD2014-08-2810-K · 0001193125-14-325463
2010-07-012011-06-3017,915,000USD2013-08-2710-K · 0001193125-13-348088
2009-07-012010-06-3030,750,000USD2012-08-2810-K · 0001193125-12-371503
2008-07-012009-06-3016,821,000USD2011-08-2910-K · 0001193125-11-234902

Related financial histories

Inspect the source

Entity
CACI INTERNATIONAL INC / CIK 0000016058
Captured
2026-09-19T14:44:32.646Z
SEC response SHA-256
98b1eb9b96c553936c6c8133e787760350baa7f3672e11f35e2a0101e35907ed

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/0000016058.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"])))