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Guidewire Software, Inc.: diluted earnings per share

Diluted earnings per share for Guidewire Software, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Guidewire Software, Inc. financial histories

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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 2009-08-01 to 2026-07-31. The SEC response was captured on 2026-09-20.

Selected filing history

Diluted earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-08-012026-07-311.63USD/shares2026-09-1110-K · 0001528396-26-000046
2024-08-012025-07-310.81USD/shares2026-09-1110-K · 0001528396-26-000046
2023-08-012024-07-31-0.07USD/shares2026-09-1110-K · 0001528396-26-000046
2022-08-012023-07-31-1.36USD/shares2025-09-1110-K · 0001528396-25-000221
2021-08-012022-07-31-2.16USD/shares2024-09-1610-K · 0001528396-24-000105
2020-08-012021-07-31-0.79USD/shares2023-09-1810-K · 0001528396-23-000089
2019-08-012020-07-31-0.33USD/shares2022-09-2610-K · 0001528396-22-000106
2018-08-012019-07-310.25USD/shares2021-09-2410-K · 0001528396-21-000095
2017-08-012018-07-31-0.34USD/shares2020-09-2810-K · 0001528396-20-000053
2016-08-012017-07-310.24USD/shares2019-10-0110-K/A · 0001528396-19-000036
2015-08-012016-07-310.2USD/shares2019-06-0310-K/A · 0001528396-19-000016
2014-08-012015-07-310.14USD/shares2017-09-2010-K · 0001528396-17-000025
2013-08-012014-07-310.21USD/shares2016-09-1510-K · 0001528396-16-000056
2012-08-012013-07-310.4USD/shares2015-09-1710-K · 0001528396-15-000019
2011-08-012012-07-310.32USD/shares2014-09-1710-K · 0001528396-14-000022
2010-08-012011-07-310.76USD/shares2013-09-2710-K · 0001528396-13-000025
2009-08-012010-07-310.3USD/shares2012-09-2510-K · 0001193125-12-401959

Related financial histories

Inspect the source

Entity
Guidewire Software, Inc. / CIK 0001528396
Captured
2026-09-20T09:15:42.304Z
SEC response SHA-256
1bcfe0669ef1e428cae9f4f40ded456766c027e1e669ce68608dc5b0e725e4b3

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/0001528396.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"])))