Simulations Plus, Inc. (SLP) Retained Earnings (2011 - 2026)
Simulations Plus (SLP) posted Retained Earnings of -$25.58 million for fiscal Q3 2026 (quarter ended May 31, 2026), compared with -$33.68 million a year earlier.
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Analysis
Simulations Plus, Inc. (SLP) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Simulations Plus' Retained Earnings came in at -$34.36 million.
- In prior fiscal years, Simulations Plus' Retained Earnings was $30.35 million in FY2024 (+20.5%), $25.2 million in FY2023 (-37.1%), $40.04 million in FY2022 (+23.6%) and $32.41 million in FY2021 (+18.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Retained Earnings since fiscal Q2 2025.
- The strongest year-over-year quarter for Retained Earnings in the past five years was fiscal Q4 2022, with growth of 23.6%; the weakest was fiscal Q4 2023, with a decline of 37.1%.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was -$29.15 million (Q2 2026), -$33.69 million (Q1 2026) and -$34.36 million (Q4 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -25.58 Mn |
| Feb 28, 2026 | -29.15 Mn |
| Nov 30, 2025 | -33.69 Mn |
| Aug 31, 2025 | -34.36 Mn |
| May 31, 2025 | -33.68 Mn |
| Feb 28, 2025 | 33.63 Mn |
| Nov 30, 2024 | 30.56 Mn |
| Aug 31, 2024 | 30.35 Mn |
| May 31, 2024 | 30.71 Mn |
| Feb 29, 2024 | 28.78 Mn |
| Nov 30, 2023 | 25.95 Mn |
| Aug 31, 2023 | 25.20 Mn |
| May 31, 2023 | 25.86 Mn |
| Feb 28, 2023 | 27.05 Mn |
| Nov 30, 2022 | 40.07 Mn |
| Aug 31, 2022 | 40.04 Mn |
| May 31, 2022 | 40.30 Mn |
| Feb 28, 2022 | 37.42 Mn |
| Nov 30, 2021 | 34.22 Mn |
| Aug 31, 2021 | 32.41 Mn |
API Access
Simulations Plus, Inc. Retained Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=retained-earnings&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "SLP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();