Research Solutions (RSSS) Market Capitalization (2010 - 2026)
Research Solutions (RSSS) posted Market Capitalization of $77.75 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 16.6% from $93.22 million a year earlier but up 3.8% from the prior quarter.
Powered by 
Analysis
Research Solutions (RSSS) Market Capitalization (2010 - 2026) Analysis & Trends
Since fiscal Q2 2011, Research Solutions has reported Market Capitalization for 63 quarters.
- Annual Market Capitalization shows a five-year compound annual growth rate of 0.5% (FY2021 to FY2026).
- In prior fiscal years, Research Solutions' Market Capitalization was $93.22 million in FY2025 (+13.2%), $82.35 million in FY2024 (+36.9%), $60.15 million in FY2023 (+24.8%) and $48.19 million in FY2022 (-36.4%).
- Quarterly Market Capitalization has run from a low of $48.19 million in fiscal Q4 2022 to a high of $135.46 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, Market Capitalization has declined in each of the last three quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q3 2024, with growth of 72.0%; the weakest was fiscal Q4 2022, with a decline of 36.4%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $74.93 million (Q3 2026), $96.65 million (Q2 2026) and $122.43 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.75 Mn |
| Mar 31, 2026 | 74.93 Mn |
| Dec 31, 2025 | 96.65 Mn |
| Sep 30, 2025 | 122.43 Mn |
| Jun 30, 2025 | 93.22 Mn |
| Mar 31, 2025 | 84.25 Mn |
| Dec 31, 2024 | 135.46 Mn |
| Sep 30, 2024 | 88.76 Mn |
| Jun 30, 2024 | 82.35 Mn |
| Mar 31, 2024 | 102.01 Mn |
| Dec 31, 2023 | 84.81 Mn |
| Sep 30, 2023 | 74.06 Mn |
| Jun 30, 2023 | 60.15 Mn |
| Mar 31, 2023 | 59.30 Mn |
| Dec 31, 2022 | 55.98 Mn |
| Sep 30, 2022 | 55.75 Mn |
| Jun 30, 2022 | 48.19 Mn |
| Mar 31, 2022 | 57.51 Mn |
| Dec 31, 2021 | 65.97 Mn |
| Sep 30, 2021 | 69.68 Mn |
API Access
Research Solutions Market Capitalization 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=market-capitalization&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();