Research Frontiers (REFR) Total Liabilities (2010 - 2026)
Research Frontiers' Total Liabilities was $1.35 million in Q2 2026, down 1.6% from $1.37 million a year earlier but up 4.2% from the prior quarter.
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Analysis
Research Frontiers (REFR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Research Frontiers came in at $1.32 million, down 8.2% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $1.44 million in FY2024 (+331.3%), $332,794 in FY2023 (-41.6%), $569,586 in FY2022 (-25.3%) and $762,064 in FY2021 (-12.6%).
- Quarterly Total Liabilities has moved between $176,073 (Q3 2024) and $1.44 million (Q4 2024) over five years.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with growth averaging 168.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2025 (growth of 620.9%); the worst was Q3 2024 (a decline of 52.9%).
- Per Business Quant data, REFR's Total Liabilities in the three quarters before Q2 2026 was $1.3 million (Q1 2026), $1.32 million (Q4 2025) and $1.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Research Frontiers | 26.85 Mn | 22.65 Mn | - | 1.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Mn |
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 1.32 Mn |
| Sep 30, 2025 | 1.27 Mn |
| Jun 30, 2025 | 1.37 Mn |
| Mar 31, 2025 | 1.34 Mn |
| Dec 31, 2024 | 1.44 Mn |
| Sep 30, 2024 | 176,073.00 |
| Jun 30, 2024 | 390,005.00 |
| Mar 31, 2024 | 439,452.00 |
| Dec 31, 2023 | 332,794.00 |
| Sep 30, 2023 | 374,213.00 |
| Jun 30, 2023 | 449,714.00 |
| Mar 31, 2023 | 500,706.00 |
| Dec 31, 2022 | 569,586.00 |
| Sep 30, 2022 | 585,529.00 |
| Jun 30, 2022 | 658,156.00 |
| Mar 31, 2022 | 704,340.00 |
| Dec 31, 2021 | 762,064.00 |
| Sep 30, 2021 | 787,009.00 |
API Access
Research Frontiers 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=REFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "REFR", "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=REFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();