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The Goldman Sachs Group, Inc.: share-based compensation expense

The Goldman Sachs Group share-based compensation expense: $3.44 billion for the year ending 2025-12-31, up 29.4% on the year. 20 values since 2007.

All The Goldman Sachs Group, Inc. financial histories

At a glance

The Goldman Sachs Group reported share-based compensation expense of $3.44 billion for the year ending 2025-12-31, up 29.4% from $2.66 billion a year earlier. From 2007 to 2025 it fell at a compound 1.4% a year, from $4.46 billion to $3.44 billion. Across the last five reported years it ranged from $2.08 billion (2023-12-31) to $4.08 billion (2022-12-31).

Computed from the values in the table below, in USD; each links to the filing it came from.

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 2006-11-25 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Share-based compensation expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-313,445,000,000USD2026-02-2510-K · 0000886982-26-000091 SEC
2024-01-012024-12-312,663,000,000USD2026-02-2510-K · 0000886982-26-000091 SEC
2023-01-012023-12-312,085,000,000USD2026-02-2510-K · 0000886982-26-000091 SEC
2022-01-012022-12-314,083,000,000USD2025-02-2710-K · 0000886982-25-000005 SEC
2021-01-012021-12-312,348,000,000USD2024-02-2310-K · 0000886982-24-000006 SEC
2020-01-012020-12-311,920,000,000USD2023-02-2410-K · 0000886982-23-000003 SEC
2019-01-012019-12-312,018,000,000USD2022-02-2510-K · 0001193125-22-052682 SEC
2018-01-012018-12-311,831,000,000USD2021-02-2210-K · 0001193125-21-049380 SEC
2017-01-012017-12-311,769,000,000USD2020-02-2110-K · 0001193125-20-043853 SEC
2016-01-012016-12-312,111,000,000USD2019-02-2610-K · 0001193125-19-050198 SEC
2015-01-012015-12-312,272,000,000USD2018-02-2610-K · 0001193125-18-056383 SEC
2014-01-012014-12-312,085,000,000USD2017-02-2710-K · 0001193125-17-056804 SEC
2013-01-012013-12-312,015,000,000USD2016-03-0210-K/A · 0001193125-16-488753 SEC
2012-01-012012-12-311,319,000,000USD2015-02-2310-K · 0001193125-15-056785 SEC
2011-01-012011-12-312,849,000,000USD2014-02-2810-K · 0001193125-14-073792 SEC
2010-12-312011-12-312,849,000,000USD2013-03-0110-K · 0001193125-13-085474 SEC
2009-12-312010-12-314,035,000,000USD2013-03-0110-K · 0001193125-13-085474 SEC
2008-12-312009-12-312,009,000,000USD2012-02-2810-K · 0001193125-12-085822 SEC
2008-12-272009-12-312,009,000,000USD2010-03-0110-K · 0000950123-10-018464 SEC
2007-12-012008-11-301,611,000,000USD2011-03-0110-K · 0000950123-11-020067 SEC
2007-12-012008-11-281,611,000,000USD2010-03-0110-K · 0000950123-10-018464 SEC
2006-11-252007-11-304,465,000,000USD2010-03-0110-K · 0000950123-10-018464 SEC

Related The Goldman Sachs Group, Inc. histories

All 39 The Goldman Sachs Group histories

Inspect the source

Entity
The Goldman Sachs Group, Inc. / CIK 0000886982
Captured
SEC response SHA-256
39759e416665606177d417a8746639d2af80adf9f1f32220edb29047ac4de6d7

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000886982.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"])))