Research Solutions (RSSS) Cash & Equivalents (2010 - 2026)
Research Solutions' Cash & Equivalents came in at $12.63 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.3% from $12.23 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Research Solutions (RSSS) Cash & Equivalents (2010 - 2026) Analysis & Trends
Going back to fiscal Q1 2011, Research Solutions' Cash & Equivalents data covers 64 quarters.
- Cash & Equivalents carries a five-year compound annual growth rate of 2.8% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $12.23 million in FY2025 (+100.4%), $6.1 million in FY2024 (-55.0%), $13.55 million in FY2023 (+27.7%) and $10.6 million in FY2022 (-3.6%).
- The fiscal Q4 2026 figure represents the highest quarterly Cash & Equivalents since fiscal Q4 2023.
- Year-over-year, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 68.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2025 (growth of 185.5%), and the weakest in fiscal Q2 2024 (a decline of 76.0%).
- Business Quant data shows RSSS's Cash & Equivalents at $12.05 million (Q3 2026), $12.26 million (Q2 2026) and $11.96 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Research Solutions | 72.39 Mn | 23.49 Mn | 6.40 Mn | 12.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.63 Mn |
| Mar 31, 2026 | 12.05 Mn |
| Dec 31, 2025 | 12.26 Mn |
| Sep 30, 2025 | 11.96 Mn |
| Jun 30, 2025 | 12.23 Mn |
| Mar 31, 2025 | 9.85 Mn |
| Dec 31, 2024 | 7.70 Mn |
| Sep 30, 2024 | 6.92 Mn |
| Jun 30, 2024 | 6.10 Mn |
| Mar 31, 2024 | 4.22 Mn |
| Dec 31, 2023 | 2.70 Mn |
| Sep 30, 2023 | 9.88 Mn |
| Jun 30, 2023 | 13.55 Mn |
| Mar 31, 2023 | 12.13 Mn |
| Dec 31, 2022 | 11.26 Mn |
| Sep 30, 2022 | 10.39 Mn |
| Jun 30, 2022 | 10.60 Mn |
| Mar 31, 2022 | 10.64 Mn |
| Dec 31, 2021 | 10.68 Mn |
| Sep 30, 2021 | 10.87 Mn |
API Access
Research Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();