Research Solutions (RSSS) Enterprise Value (2010 - 2026)
Research Solutions' Enterprise Value came in at $65.12 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 19.6% from $80.99 million a year earlier but up 3.6% from the prior quarter.
Research Solutions (RSSS) Enterprise Value (2010 - 2026) Analysis & Trends
Going back to fiscal Q2 2011, Research Solutions' Enterprise Value data covers 63 quarters.
- Enterprise Value carries a five-year compound annual growth rate of 0.1% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $80.99 million in FY2025 (+6.2%), $76.25 million in FY2024 (+63.6%), $46.61 million in FY2023 (+24.0%) and $37.59 million in FY2022 (-42.0%).
- The five-year range for quarterly Enterprise Value is $37.59 million (fiscal Q4 2022) to $127.76 million (fiscal Q2 2025).
- Year-over-year, Enterprise Value has declined for three consecutive quarters, with growth averaging 3.9% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q3 2024 (growth of 107.3%), and the weakest in fiscal Q4 2022 (a decline of 42.0%).
- Business Quant data shows RSSS's Enterprise Value at $62.88 million (Q3 2026), $84.39 million (Q2 2026) and $110.48 million (Q1 2026) in the three fiscal quarters before Q4 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.12 Mn |
| Mar 31, 2026 | 62.88 Mn |
| Dec 31, 2025 | 84.39 Mn |
| Sep 30, 2025 | 110.48 Mn |
| Jun 30, 2025 | 80.99 Mn |
| Mar 31, 2025 | 74.40 Mn |
| Dec 31, 2024 | 127.76 Mn |
| Sep 30, 2024 | 81.84 Mn |
| Jun 30, 2024 | 76.25 Mn |
| Mar 31, 2024 | 97.79 Mn |
| Dec 31, 2023 | 82.11 Mn |
| Sep 30, 2023 | 64.18 Mn |
| Jun 30, 2023 | 46.61 Mn |
| Mar 31, 2023 | 47.16 Mn |
| Dec 31, 2022 | 44.71 Mn |
| Sep 30, 2022 | 45.37 Mn |
| Jun 30, 2022 | 37.59 Mn |
| Mar 31, 2022 | 46.87 Mn |
| Dec 31, 2021 | 55.29 Mn |
| Sep 30, 2021 | 58.81 Mn |
Research Solutions Enterprise Value 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=enterprise-value&ticker=RSSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();