Research Solutions (RSSS) EV to EBITDA (2013 - 2026)
Research Solutions' EV to EBITDA was 13.45 in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 37.8% from 21.62 a year earlier but up 11.4% from the prior quarter.
Research Solutions (RSSS) EV to EBITDA (2013 - 2026) Analysis & Trends
From fiscal Q4 2013 onward, Research Solutions has reported EV to EBITDA for 13 quarters.
- In earlier fiscal years, EV to EBITDA was 21.62 in FY2025 (-98.1%), 1142.75 in FY2024 (+614.1%) and 160.03 in FY2023.
- Quarterly EV to EBITDA has moved between 12.07 (fiscal Q3 2026) and 1142.75 (fiscal Q4 2024) over five years.
- Compared with a year earlier, EV to EBITDA has declined for five straight quarters, with an average decline of 55.5% over the last five quarters.
- Per Business Quant data, RSSS's EV to EBITDA in the three fiscal quarters before Q4 2026 was 12.07 (Q3 2026), 17.87 (Q2 2026) and 27.17 (Q1 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 | 13.45 |
| Mar 31, 2026 | 12.07 |
| Dec 31, 2025 | 17.87 |
| Sep 30, 2025 | 27.17 |
| Jun 30, 2025 | 21.62 |
| Mar 31, 2025 | 23.25 |
| Dec 31, 2024 | 46.83 |
| Sep 30, 2024 | 39.63 |
| Jun 30, 2024 | 1,142.75 |
| Jun 30, 2023 | 160.03 |
| Mar 31, 2015 | 199.40 |
| Sep 30, 2013 | 37.65 |
| Jun 30, 2013 | 29.79 |
Research Solutions EV to EBITDA 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=ev-to-ebitda&ticker=RSSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();