Research Frontiers (REFR) Return on Sales [ROS] (2016 - 2026)
Research Frontiers' Return on Sales [ROS] was -775.66% in Q2 2026, down 148.20 percentage points from -627.47% a year earlier and down 386.57 percentage points from the prior quarter.
Research Frontiers (REFR) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Research Frontiers' Return on Sales [ROS] was -348.14% through Jun 30, 2026, down 191.82 percentage points year-over-year; for FY2025, it was -190.16%, down 82.20 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +120.95 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -107.96% in FY2024 (+115.58 pp), -223.54% in FY2023 (+262.88 pp), -486.42% in FY2022 (-340.83 pp) and -145.59% in FY2021 (+165.52 pp).
- Quarterly Return on Sales [ROS] has moved between -1072.53% (Q4 2025) and 2.38% (Q3 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for five straight quarters, with an average year-over-year change of -209.17 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 585.22 percentage points); the worst was Q4 2025 (a drop of 722.11 percentage points).
- Per Business Quant data, REFR's Return on Sales [ROS] in the three quarters before Q2 2026 was -389.10% (Q1 2026), -1072.53% (Q4 2025) and -84.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,825.63 Bn | 4,573.12 Bn | 54.77 Bn | 32.62% |
| 2 | Cisco Systems | 429.17 Bn | 365.10 Bn | 11.06 Bn | 24.72% |
| 3 | Dell Technologies | 346.69 Bn | 302.44 Bn | 9.83 Bn | 11.46% |
| 4 | Sandisk | 261.00 Bn | 249.52 Bn | 7.58 Bn | 78.49% |
| 5 | Arista Networks | 257.88 Bn | 211.33 Bn | 1.91 Bn | 45.39% |
| 6 | Seagate Technology Holdings | 214.45 Bn | 209.44 Bn | 1.90 Bn | 42.96% |
| 7 | Western Digital | 166.98 Bn | 155.11 Bn | 2.03 Bn | 41.71% |
| 8 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn | 16.79% |
| 9 | Lumentum Holdings | 92.66 Bn | 84.47 Bn | 477.30 Mn | 27.76% |
| 10 | Research Frontiers | 24.06 Mn | 19.86 Mn | - | -775.66% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -775.66% |
| Mar 31, 2026 | -389.10% |
| Dec 31, 2025 | -1,072.53% |
| Sep 30, 2025 | -84.56% |
| Jun 30, 2025 | -627.47% |
| Mar 31, 2025 | -42.80% |
| Dec 31, 2024 | -350.42% |
| Sep 30, 2024 | -65.38% |
| Jun 30, 2024 | -23.72% |
| Mar 31, 2024 | -149.90% |
| Dec 31, 2023 | -161.86% |
| Sep 30, 2023 | -313.02% |
| Jun 30, 2023 | -283.87% |
| Mar 31, 2023 | -196.98% |
| Dec 31, 2022 | -631.31% |
| Sep 30, 2022 | -323.17% |
| Jun 30, 2022 | -869.08% |
| Mar 31, 2022 | -331.19% |
| Dec 31, 2021 | -362.08% |
| Sep 30, 2021 | 2.38% |
Research Frontiers Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=REFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=REFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();