Research Solutions (RSSS) Total Current Liabilities (2011 - 2026)
Research Solutions (RSSS) posted Total Current Liabilities of $24.94 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.2% from $25.51 million a year earlier and down 0.6% from the prior quarter.
Research Solutions (RSSS) Total Current Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Research Solutions has reported Total Current Liabilities for 61 quarters.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 16.8% (FY2021 to FY2026).
- In prior fiscal years, Research Solutions' Total Current Liabilities was $25.51 million in FY2025 (+42.8%), $17.87 million in FY2024 (+23.2%), $14.5 million in FY2023 (+19.4%) and $12.14 million in FY2022 (+5.7%).
- Quarterly Total Current Liabilities has run from a low of $10.9 million in fiscal Q1 2022 to a high of $25.51 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in seven of the last eight quarters, with growth averaging 22.6%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q1 2026, with growth of 52.6%; the weakest was fiscal Q4 2026, with a decline of 2.2%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $25.1 million (Q3 2026), $23.61 million (Q2 2026) and $24.88 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 51.25 Bn | 23.50 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 24.77 Bn | 21.54 Bn | 392.58 Mn | 968.09 Mn |
| 4 | Ptc | 22.15 Bn | 20.97 Bn | 490.47 Mn | 1.34 Bn |
| 5 | Toast | 18.94 Bn | 11.61 Bn | 516.00 Mn | 1.10 Bn |
| 6 | Trimble | 14.45 Bn | 13.52 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Manhattan Associates | 13.62 Bn | 12.61 Bn | 168.33 Mn | 475.05 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 747.00 Mn |
| 9 | Bentley Systems | 11.92 Bn | 11.38 Bn | 336.74 Mn | 988.14 Mn |
| 10 | Research Solutions | 62.94 Mn | 14.04 Mn | 6.40 Mn | 24.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.94 Mn |
| Mar 31, 2026 | 25.10 Mn |
| Dec 31, 2025 | 23.61 Mn |
| Sep 30, 2025 | 24.88 Mn |
| Jun 30, 2025 | 25.51 Mn |
| Mar 31, 2025 | 24.90 Mn |
| Dec 31, 2024 | 20.92 Mn |
| Sep 30, 2024 | 16.30 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 |
| 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 |
Research Solutions Total 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-current-liabilities&ticker=RSSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();