Research Frontiers (REFR) Shares Outstanding (Diluted) (2022 - 2026)
Research Frontiers (REFR) recorded Weighted Average Shares Outstanding (Diluted) of 34.87 million in Q2 2026, up 3.6% from 33.65 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Research Frontiers (REFR) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Research Frontiers reported Weighted Average Shares Outstanding (Diluted) of 33.65 million, up 0.4% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for three straight years, with a three-year compound annual growth rate of 1.6% (FY2022 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 33.52 million in FY2024 (+0.2%), 33.45 million in FY2023 (+4.3%) and 32.07 million in FY2022.
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q2 2022.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for seven consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 0.0% (Q2 2024) to 5.9% (Q2 2023).
- Per Business Quant, the preceding three quarters came in at 34.16 million (Q1 2026), 33.65 million (Q4 2025) and 33.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,150.22 Bn | 4,895.69 Bn | 54.82 Bn | 14.72 Bn |
| 2 | Cisco Systems | 390.67 Bn | 326.60 Bn | 11.06 Bn | 3.99 Bn |
| 3 | Arista Networks | 234.99 Bn | 184.19 Bn | 2.33 Bn | 1.28 Bn |
| 4 | Dell Technologies | 223.66 Bn | 179.42 Bn | 9.83 Bn | 652.00 Mn |
| 5 | Sony | 161.53 Bn | 96.07 Bn | 7.96 Bn | 6.01 Bn |
| 6 | Sandisk | 129.94 Bn | 114.77 Bn | 9.38 Bn | 155.00 Mn |
| 7 | Seagate Technology Holdings | 115.51 Bn | 110.35 Bn | 2.43 Bn | 232.00 Mn |
| 8 | Western Digital | 105.83 Bn | 95.66 Bn | 2.53 Bn | 384.00 Mn |
| 9 | Hewlett Packard Enterprise | 63.65 Bn | 41.53 Bn | 4.93 Bn | 1.45 Bn |
| 10 | Research Frontiers | 14.34 Mn | 10.63 Mn | - | 34.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.87 Mn |
| Jun 30, 2026 | 34.87 Mn |
| Mar 31, 2026 | 34.16 Mn |
| Dec 31, 2025 | 33.65 Mn |
| Sep 30, 2025 | 33.65 Mn |
| Jun 30, 2025 | 33.65 Mn |
| Mar 31, 2025 | 33.65 Mn |
| Dec 31, 2024 | 33.52 Mn |
| Sep 30, 2024 | 33.52 Mn |
| Jun 30, 2024 | 33.52 Mn |
| Mar 31, 2024 | 33.51 Mn |
| Dec 31, 2023 | 33.45 Mn |
| Sep 30, 2023 | 33.51 Mn |
| Jun 30, 2023 | 33.51 Mn |
| Mar 31, 2023 | 33.29 Mn |
| Dec 31, 2022 | 32.07 Mn |
| Sep 30, 2022 | 31.83 Mn |
| Jun 30, 2022 | 31.65 Mn |
API Access
Research Frontiers Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=REFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=REFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();