Simulations Plus (SLP) Receivables (2011 - 2026)
Simulations Plus (SLP) recorded Receivables of $17.2 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 16.4% from $14.78 million a year earlier but down 5.3% from the prior quarter.
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Analysis
Simulations Plus (SLP) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Simulations Plus reported Receivables of $9.72 million, up 6.4% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- Across earlier fiscal years, Receivables came in at $9.14 million in FY2024 (-10.4%), $10.2 million in FY2023 (-26.0%), $13.79 million in FY2022 (+6.0%) and $13 million in FY2021 (+23.6%).
- Quarterly Receivables has ranged from $9.14 million in fiscal Q4 2024 to $18.59 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Receivables rose in six of the last eight quarters, with growth averaging 14.1%.
- Peak year-over-year performance for Receivables in the last five years was growth of 45.7% in fiscal Q3 2025, against a decline of 45.0% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $18.17 million (Q2 2026), $12.15 million (Q1 2026) and $9.72 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 183.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 824.11 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 130.98 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 218.88 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 253.00 Mn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 17.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 17.20 Mn |
| Feb 28, 2026 | 18.17 Mn |
| Nov 30, 2025 | 12.15 Mn |
| Aug 31, 2025 | 9.72 Mn |
| May 31, 2025 | 14.78 Mn |
| Feb 28, 2025 | 16.49 Mn |
| Nov 30, 2024 | 12.80 Mn |
| Aug 31, 2024 | 9.14 Mn |
| May 31, 2024 | 10.14 Mn |
| Feb 29, 2024 | 13.11 Mn |
| Nov 30, 2023 | 10.35 Mn |
| Aug 31, 2023 | 10.20 Mn |
| May 31, 2023 | 10.21 Mn |
| Feb 28, 2023 | 11.40 Mn |
| Nov 30, 2022 | 11.70 Mn |
| Aug 31, 2022 | 13.79 Mn |
| May 31, 2022 | 18.59 Mn |
| Feb 28, 2022 | 15.04 Mn |
| Nov 30, 2021 | 13.31 Mn |
| Aug 31, 2021 | 13.00 Mn |
API Access
Simulations Plus Receivables 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=receivables&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();