Skip to content

SENTINELONE, INC: diluted earnings per share

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

All SENTINELONE, 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 2019-02-01 to 2026-01-31. The SEC response was captured on 2026-09-20.

Reading these values

This selected numerical history matches Basic earnings per share for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.

Context from the filing

For SentinelOne’s fiscal years ended January 31, 2024, 2025 and 2026, the selected denominator combines Class A and Class B common stock. Under its two-class policy, losses are not allocated to participating restricted common stock or early-exercised options subject to repurchase because those holders have no contractual obligation to share losses. Potential common-stock equivalents are excluded from diluted loss per share as anti-dilutive for all presented periods. January fiscal dates, full scale-zero shares and EPS remain unchanged. Read the source filing.

Selected filing history

Diluted earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-02-012026-01-31-1.37USD/shares2026-03-1910-K · 0001583708-26-000020
2024-02-012025-01-31-0.92USD/shares2026-03-1910-K · 0001583708-26-000020
2023-02-012024-01-31-1.15USD/shares2026-03-1910-K · 0001583708-26-000020
2022-02-012023-01-31-1.36USD/shares2025-03-2610-K · 0001583708-25-000051
2021-02-012022-01-31-1.56USD/shares2024-03-2710-K · 0001583708-24-000016
2020-02-012021-01-31-3.31USD/shares2023-03-2910-K · 0001583708-23-000014
2019-02-012020-01-31-2.34USD/shares2022-04-0710-K · 0001583708-22-000016

Related financial histories

Inspect the source

Entity
SENTINELONE, INC / CIK 0001583708
Captured
2026-09-20T09:22:59.891Z
SEC response SHA-256
8c493fe6c6c4cd7e944856a59eb4f053bd56f94cf7d176c6eef713e1e87f205c

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/0001583708.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"])))