Research Solutions (RSSS) Total Liabilities (2011 - 2026)
Research Solutions' Total Liabilities came in at $24.96 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 22.5% from $32.19 million a year earlier and down 7.2% from the prior quarter.
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Analysis
Research Solutions (RSSS) Total Liabilities (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Research Solutions' Total Liabilities data covers 61 quarters.
- Total Liabilities carries a five-year compound annual growth rate of 16.8% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $32.19 million in FY2025 (+6.7%), $30.17 million in FY2024 (+108.0%), $14.5 million in FY2023 (+19.4%) and $12.14 million in FY2022 (+5.7%).
- The fiscal Q4 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q1 2024.
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with growth averaging 9.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2024 (growth of 119.9%), and the weakest in fiscal Q4 2026 (a decline of 22.5%).
- Business Quant data shows RSSS's Total Liabilities at $26.89 million (Q3 2026), $27.02 million (Q2 2026) and $29.92 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn | 24.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.96 Mn |
| Mar 31, 2026 | 26.89 Mn |
| Dec 31, 2025 | 27.02 Mn |
| Sep 30, 2025 | 29.92 Mn |
| Jun 30, 2025 | 32.19 Mn |
| Mar 31, 2025 | 34.00 Mn |
| Dec 31, 2024 | 31.66 Mn |
| Sep 30, 2024 | 28.60 Mn |
| Jun 30, 2024 | 30.17 Mn |
| Mar 31, 2024 | 26.67 Mn |
| Dec 31, 2023 | 25.50 Mn |
| Sep 30, 2023 | 16.80 Mn |
| Jun 30, 2023 | 14.50 Mn |
| Mar 31, 2023 | 14.22 Mn |
| Dec 31, 2022 | 11.60 Mn |
| Sep 30, 2022 | 10.92 Mn |
| Jun 30, 2022 | 12.14 Mn |
| Mar 31, 2022 | 12.43 Mn |
| Dec 31, 2021 | 11.26 Mn |
| Sep 30, 2021 | 10.90 Mn |
API Access
Research Solutions Total Liabilities 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=total-liabilities&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();