Research Frontiers (REFR) Operating Expenses (2010 - 2026)
Research Frontiers (REFR) reported Operating Expenses of $756,100 for Q2 2026, down 20.0% from $945,008 a year earlier but up 13.4% from the prior quarter.
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Analysis
Research Frontiers (REFR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Research Frontiers' Operating Expenses came in at $2.93 million, down 6.4% year-over-year; for FY2025, it came in at $3.25 million, up 17.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $2.78 million in FY2024 (-5.6%), $2.94 million in FY2023 (-7.0%), $3.16 million in FY2022 (+2.0%) and $3.1 million in FY2021 (-8.9%).
- Five-year quarterly Operating Expenses spans a low of $586,112 in Q3 2024 and a high of $981,948 in Q4 2021.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 3.1%.
- The high point for year-over-year Operating Expenses in five years was Q2 2025 (growth of 56.0%); the low point was Q2 2026 (a decline of 20.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $666,732 (Q1 2026), $845,666 (Q4 2025) and $663,388 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Research Frontiers | 26.85 Mn | 22.65 Mn | - | 756,100.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 756,100.00 |
| Mar 31, 2026 | 666,732.00 |
| Dec 31, 2025 | 845,666.00 |
| Sep 30, 2025 | 663,388.00 |
| Jun 30, 2025 | 945,008.00 |
| Mar 31, 2025 | 799,353.00 |
| Dec 31, 2024 | 802,435.00 |
| Sep 30, 2024 | 586,112.00 |
| Jun 30, 2024 | 605,728.00 |
| Mar 31, 2024 | 783,128.00 |
| Dec 31, 2023 | 817,621.00 |
| Sep 30, 2023 | 677,954.00 |
| Jun 30, 2023 | 710,304.00 |
| Mar 31, 2023 | 737,021.00 |
| Dec 31, 2022 | 949,989.00 |
| Sep 30, 2022 | 636,632.00 |
| Jun 30, 2022 | 828,671.00 |
| Mar 31, 2022 | 749,523.00 |
| Dec 31, 2021 | 981,948.00 |
| Sep 30, 2021 | 706,239.00 |
API Access
Research Frontiers Operating Expenses 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=operating-expenses&ticker=REFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=REFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();