Research Solutions (RSSS) Revenue (2010 - 2026)
Research Solutions' Revenue was $12.08 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.9% from $12.44 million a year earlier and down 0.3% from the prior quarter.
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Analysis
Research Solutions (RSSS) Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Revenue at Research Solutions came in at $48.31 million, down 1.5% from FY2025.
- Revenue shows a five-year compound annual growth rate of 8.8% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $49.06 million in FY2025 (+9.9%), $44.62 million in FY2024 (+18.4%), $37.7 million in FY2023 (+14.5%) and $32.93 million in FY2022 (+3.7%).
- Quarterly Revenue has moved between $7.74 million (fiscal Q1 2022) and $12.66 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Revenue has declined for three straight quarters, with growth averaging 4.5% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q4 2024 (growth of 21.8%); the worst was fiscal Q3 2026 (a decline of 4.3%).
- Per Business Quant data, RSSS's Revenue in the three fiscal quarters before Q4 2026 was $12.12 million (Q3 2026), $11.79 million (Q2 2026) and $12.31 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 927.96 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 508.44 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.91 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 600.05 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 972.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 298.45 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 297.79 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 925.00 Mn |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn | 12.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.08 Mn |
| Mar 31, 2026 | 12.12 Mn |
| Dec 31, 2025 | 11.79 Mn |
| Sep 30, 2025 | 12.31 Mn |
| Jun 30, 2025 | 12.44 Mn |
| Mar 31, 2025 | 12.66 Mn |
| Dec 31, 2024 | 11.91 Mn |
| Sep 30, 2024 | 12.04 Mn |
| Jun 30, 2024 | 12.13 Mn |
| Mar 31, 2024 | 12.12 Mn |
| Dec 31, 2023 | 10.31 Mn |
| Sep 30, 2023 | 10.06 Mn |
| Jun 30, 2023 | 9.96 Mn |
| Mar 31, 2023 | 10.34 Mn |
| Dec 31, 2022 | 8.72 Mn |
| Sep 30, 2022 | 8.68 Mn |
| Jun 30, 2022 | 8.56 Mn |
| Mar 31, 2022 | 8.76 Mn |
| Dec 31, 2021 | 7.87 Mn |
| Sep 30, 2021 | 7.74 Mn |
API Access
Research Solutions Revenue 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=revenue&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();