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EXTRA SPACE STORAGE INC.: share-based compensation expense

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

All EXTRA SPACE STORAGE 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 2008-01-01 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
2025-01-012025-12-3135,537,000USD2026-02-2010-K · 0001289490-26-000011
2024-01-012024-12-3128,991,000USD2026-02-2010-K · 0001289490-26-000011
2023-01-012023-12-3126,484,000USD2026-02-2010-K · 0001289490-26-000011
2022-01-012022-12-3121,386,000USD2025-02-2810-K · 0001628280-25-009060
2021-01-012021-12-3117,303,000USD2024-02-2910-K · 0001628280-24-008044
2020-01-012020-12-3116,281,000USD2023-02-2810-K · 0001628280-23-005628
2019-01-012019-12-3113,051,000USD2022-02-2810-K · 0001628280-22-004274
2018-01-012018-12-3111,176,000USD2021-02-2610-K · 0001628280-21-003458
2017-01-012017-12-319,561,000USD2020-02-2510-K · 0001628280-20-002202
2016-01-012016-12-318,045,000USD2019-02-2610-K · 0001628280-19-001968
2015-01-012015-12-316,055,000USD2018-03-0110-K · 0001628280-18-002649
2014-01-012014-12-314,984,000USD2017-02-2710-K · 0001628280-17-001815
2013-01-012013-12-314,819,000USD2016-02-2910-K · 0001193125-16-485633
2012-01-012012-12-314,356,000USD2015-03-0210-K · 0001193125-15-073584
2011-01-012011-12-315,757,000USD2014-03-0310-K · 0001047469-14-001686
2010-01-012010-12-314,580,000USD2013-02-2810-K · 0001047469-13-001942
2009-01-012009-12-313,809,000USD2012-02-2910-K · 0001047469-12-001880
2008-01-012008-12-313,500,000USD2011-02-2510-K · 0001047469-11-001398

Related financial histories

Inspect the source

Entity
EXTRA SPACE STORAGE INC. / CIK 0001289490
Captured
2026-09-20T07:49:56.306Z
SEC response SHA-256
a3f92635c69d1bbe69eaa8572dd21d32f89f99406b7f4b3a1169ca02d658bb8c

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/0001289490.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"])))