Research Solutions (RSSS) Shares Outstanding (2010 - 2026)
Research Solutions' Shares Outstanding came in at 31.79 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.6% from 30.68 million a year earlier but down 0.7% from the prior quarter.
Powered by 
Analysis
Research Solutions (RSSS) Shares Outstanding (2010 - 2026) Analysis & Trends
Going back to fiscal Q1 2011, Research Solutions' Shares Outstanding data covers 64 quarters.
- Shares Outstanding has increased in each of the last 15 fiscal years, with a five-year compound annual growth rate of 4.1% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding was 30.68 million in FY2025 (+6.3%), 28.86 million in FY2024 (+7.5%), 26.86 million in FY2023 (+1.7%) and 26.42 million in FY2022 (+1.6%).
- The five-year range for quarterly Shares Outstanding is 26.28 million (fiscal Q1 2022) to 32 million (fiscal Q3 2026).
- Year-over-year, Shares Outstanding has increased for 50 consecutive quarters, with growth averaging 5.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 1.3% (fiscal Q1 2024) to 12.2% (fiscal Q1 2025).
- Business Quant data shows RSSS's Shares Outstanding at 32 million (Q3 2026), 31.63 million (Q2 2026) and 31.23 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 162.34 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 584.14 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 578.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 114.68 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 233.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 46.70 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 58.76 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 404.10 Mn |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn | 31.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.79 Mn |
| Mar 31, 2026 | 32.00 Mn |
| Dec 31, 2025 | 31.63 Mn |
| Sep 30, 2025 | 31.23 Mn |
| Jun 30, 2025 | 30.68 Mn |
| Mar 31, 2025 | 31.03 Mn |
| Dec 31, 2024 | 30.42 Mn |
| Sep 30, 2024 | 30.35 Mn |
| Jun 30, 2024 | 28.86 Mn |
| Mar 31, 2024 | 30.02 Mn |
| Dec 31, 2023 | 28.09 Mn |
| Sep 30, 2023 | 27.05 Mn |
| Jun 30, 2023 | 26.86 Mn |
| Mar 31, 2023 | 26.93 Mn |
| Dec 31, 2022 | 26.82 Mn |
| Sep 30, 2022 | 26.72 Mn |
| Jun 30, 2022 | 26.42 Mn |
| Mar 31, 2022 | 26.51 Mn |
| Dec 31, 2021 | 26.35 Mn |
| Sep 30, 2021 | 26.28 Mn |
API Access
Research Solutions Shares Outstanding 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=shares-outstanding&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "RSSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();