Research Solutions (RSSS) Shares Outstanding (Diluted) (2011 - 2026)
Research Solutions' Shares Outstanding (Diluted) came in at 32.27 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.4% from 31.5 million a year earlier but down 0.5% from the prior quarter.
Research Solutions (RSSS) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
Going back to fiscal Q2 2012, Research Solutions' Shares Outstanding (Diluted) data covers 59 quarters.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 4.0% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 31.5 million in FY2025 (+9.1%), 28.86 million in FY2024 (-0.9%), 29.14 million in FY2023 (+10.3%) and 26.42 million in FY2022 (-0.5%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 26.28 million (fiscal Q1 2022) to 33.51 million (fiscal Q3 2024).
- Year-over-year, Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in fiscal Q1 2025 (growth of 22.9%), and the weakest in fiscal Q3 2025 (a decline of 4.1%).
- Business Quant data shows RSSS's Shares Outstanding (Diluted) at 32.44 million (Q3 2026), 32.33 million (Q2 2026) and 32.07 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 165.06 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 590.46 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 590.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 114.98 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 | 50.03 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 59.00 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 404.40 Mn |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.27 Mn |
| Mar 31, 2026 | 32.44 Mn |
| Dec 31, 2025 | 32.33 Mn |
| Sep 30, 2025 | 32.07 Mn |
| Jun 30, 2025 | 31.50 Mn |
| Mar 31, 2025 | 32.14 Mn |
| Dec 31, 2024 | 30.42 Mn |
| Sep 30, 2024 | 33.23 Mn |
| Jun 30, 2024 | 28.86 Mn |
| Mar 31, 2024 | 33.51 Mn |
| Dec 31, 2023 | 28.09 Mn |
| Sep 30, 2023 | 27.05 Mn |
| Jun 30, 2023 | 29.14 Mn |
| Mar 31, 2023 | 29.79 Mn |
| Dec 31, 2022 | 26.82 Mn |
| Sep 30, 2022 | 27.78 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 |
Research Solutions Shares Outstanding (Diluted) 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-diluted&ticker=RSSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();