Simulations Plus, Inc.: share-based compensation expense
Simulations Plus share-based compensation expense: $6.35 million for the year ending 2025-08-31, down 2.8% on the year. 15 values since 2011 from SEC filings.
All Simulations Plus, Inc. financial histories
At a glance
Simulations Plus reported share-based compensation expense of $6.35 million for the year ending 2025-08-31, down 2.8% from $6.54 million a year earlier. From 2011 to 2025 it grew at a compound 30.4% a year, from $155.3 thousand to $6.35 million. Across the last five reported years it ranged from $2.75 million (2021-08-31) to $6.54 million (2024-08-31). That was 8.0% of revenue ($79.2 million) for the same year.
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 2010-09-01 to 2025-08-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-09-01 | 2025-08-31 | 6,354,000 | USD | 2025-12-01 | 10-K · 0001023459-25-000060 SEC |
| 2023-09-01 | 2024-08-31 | 6,538,000 | USD | 2025-12-01 | 10-K · 0001023459-25-000060 SEC |
| 2022-09-01 | 2023-08-31 | 4,828,000 | USD | 2025-12-01 | 10-K · 0001023459-25-000060 SEC |
| 2021-09-01 | 2022-08-31 | 3,037,000 | USD | 2024-10-30 | 10-K · 0001023459-24-000136 SEC |
| 2020-09-01 | 2021-08-31 | 2,750,000 | USD | 2023-10-27 | 10-K · 0001023459-23-000124 SEC |
| 2019-09-01 | 2020-08-31 | 1,577,000 | USD | 2022-10-28 | 10-K · 0001023459-22-000080 SEC |
| 2018-09-01 | 2019-08-31 | 1,078,000 | USD | 2021-10-27 | 10-K · 0001683168-21-005076 SEC |
| 2017-09-01 | 2018-08-31 | 709,083 | USD | 2020-11-16 | 10-K · 0001683168-20-003974 SEC |
| 2016-09-01 | 2017-08-31 | 621,781 | USD | 2019-11-13 | 10-K · 0001683168-19-003572 SEC |
| 2015-09-01 | 2016-08-31 | 347,077 | USD | 2018-11-14 | 10-K · 0001683168-18-003442 SEC |
| 2014-09-01 | 2015-08-31 | 295,243 | USD | 2017-11-14 | 10-K · 0001683168-17-003042 SEC |
| 2013-09-01 | 2014-08-31 | 144,327 | USD | 2015-11-20 | 10-K · 0001019687-15-004260 SEC |
| 2012-09-01 | 2013-08-31 | 115,740 | USD | 2014-11-28 | 10-K · 0001019687-14-004531 SEC |
| 2011-09-01 | 2012-08-31 | 127,738 | USD | 2012-11-29 | 10-K/A · 0001019687-12-004328 SEC |
| 2010-09-01 | 2011-08-31 | 155,253 | USD | 2012-11-29 | 10-K/A · 0001019687-12-004328 SEC |
Related Simulations Plus, Inc. histories
Inspect the source
- Entity
- Simulations Plus, Inc. / CIK 0001023459
- Captured
- SEC response SHA-256
f525428c4cc1cd0300e320dc607bbdabbe2bf19bbb8c52f630306d6d6b17112f
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.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001023459.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"])))