Fabrinet (FN) Return on Sales [ROS] (2010 - 2026)
Fabrinet's Return on Sales [ROS] was 10.20% in fiscal Q4 2026 (quarter ended Jun 26, 2026), up 0.41 percentage points from 9.79% a year earlier and up 0.32 percentage points from the prior quarter.
Fabrinet (FN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 26, 2026), Return on Sales [ROS] at Fabrinet came in at 9.97%, up 0.49 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +1.95 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 9.49% in FY2025 (-0.14 pp), 9.63% in FY2024 (+0.11 pp), 9.52% in FY2023 (+0.47 pp) and 9.04% in FY2022 (+1.02 pp).
- The fiscal Q4 2026 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q3 2014.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +0.17 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q3 2022 (a gain of 1.65 percentage points); the worst was fiscal Q3 2025 (a drop of 0.70 percentage points).
- Per Business Quant data, FN's Return on Sales [ROS] in the three fiscal quarters before Q4 2026 was 9.89% (Q3 2026), 10.10% (Q2 2026) and 9.63% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 32.62% |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 24.72% |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 11.46% |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 45.39% |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 78.49% |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 42.96% |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 41.71% |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 16.79% |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 27.76% |
| 10 | Fabrinet | 16.61 Bn | 12.86 Bn | 158.05 Mn | 10.20% |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 10.20% |
| Mar 27, 2026 | 9.89% |
| Dec 26, 2025 | 10.10% |
| Sep 26, 2025 | 9.63% |
| Jun 27, 2025 | 9.79% |
| Mar 28, 2025 | 9.05% |
| Dec 27, 2024 | 9.55% |
| Sep 27, 2024 | 9.57% |
| Jun 28, 2024 | 9.73% |
| Mar 29, 2024 | 9.75% |
| Dec 29, 2023 | 9.68% |
| Sep 29, 2023 | 9.33% |
| Jun 30, 2023 | 9.36% |
| Mar 31, 2023 | 9.29% |
| Dec 30, 2022 | 9.91% |
| Sep 30, 2022 | 9.49% |
| Jun 24, 2022 | 9.59% |
| Mar 25, 2022 | 9.51% |
| Dec 24, 2021 | 9.08% |
| Sep 24, 2021 | 7.92% |
Fabrinet 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=FN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FN", "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=FN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();