Research Solutions (RSSS) Total Non-Current Liabilities (2011 - 2026)
Research Solutions (RSSS) posted Total Non-Current Liabilities of $17.63 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.8% from $18.15 million a year earlier and down 1.2% from the prior quarter.
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Analysis
Research Solutions (RSSS) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Research Solutions has reported Total Non-Current Liabilities for 22 quarters.
- Annual Total Non-Current Liabilities shows a three-year compound annual growth rate of 6.7% (FY2023 to FY2026).
- In prior fiscal years, Research Solutions' Total Non-Current Liabilities was $18.15 million in FY2025 (+1.6%), $17.87 million in FY2024 (+23.2%) and $14.5 million in FY2023.
- Quarterly Total Non-Current Liabilities has run from a low of $14.5 million in fiscal Q4 2023 to a high of $18.89 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters, with growth averaging 1.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q4 2024, with growth of 23.2%; the weakest was fiscal Q3 2026, with a decline of 5.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $17.85 million (Q3 2026), $16.31 million (Q2 2026) and $17.58 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn | 17.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.63 Mn |
| Mar 31, 2026 | 17.85 Mn |
| Dec 31, 2025 | 16.31 Mn |
| Sep 30, 2025 | 17.58 Mn |
| Jun 30, 2025 | 18.15 Mn |
| Mar 31, 2025 | 18.89 Mn |
| Dec 31, 2024 | 16.96 Mn |
| Sep 30, 2024 | 14.56 Mn |
| Jun 30, 2024 | 17.87 Mn |
| Mar 31, 2024 | 17.88 Mn |
| Dec 31, 2023 | 16.71 Mn |
| Sep 30, 2023 | 14.93 Mn |
| Jun 30, 2023 | 14.50 Mn |
| Jun 30, 2014 | 113,415.00 |
| Mar 31, 2014 | 197,132.00 |
| Dec 31, 2013 | 280,574.00 |
| Jun 30, 2013 | 504,104.00 |
| Dec 31, 2012 | 609,750.00 |
| Jun 30, 2012 | 866,625.00 |
| Dec 31, 2011 | 13.81 Mn |
API Access
Research Solutions Total Non-Current 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-non-current-liabilities&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();