Fabrinet (FN) Operating Expenses (2010 - 2026)
Fabrinet (FN) reported Operating Expenses of $23.8 million for fiscal Q4 2026 (quarter ended Jun 26, 2026), up 7.0% from $22.24 million a year earlier but down 2.0% from the prior quarter.
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Analysis
Fabrinet (FN) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 26, 2026), Fabrinet posted Operating Expenses of $93.62 million, up 5.3% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $88.9 million in FY2025 (+13.2%), $78.51 million in FY2024 (-7.2%), $84.57 million in FY2023 (+14.2%) and $74.08 million in FY2022 (+4.9%).
- Five-year quarterly Operating Expenses spans a low of $17.03 million in fiscal Q3 2022 and a high of $24.3 million in fiscal Q3 2026.
- Year over year, Operating Expenses has now increased in each of the last eight quarters, with growth averaging 9.3% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2023 (growth of 42.0%); the low point was fiscal Q3 2024 (a decline of 18.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $24.3 million (Q3 2026), $23.28 million (Q2 2026) and $22.25 million (Q1 2026).
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 | Fabrinet | 14.70 Bn | 10.95 Bn | 158.05 Mn | 23.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 23.80 Mn |
| Mar 27, 2026 | 24.30 Mn |
| Dec 26, 2025 | 23.28 Mn |
| Sep 26, 2025 | 22.25 Mn |
| Jun 27, 2025 | 22.24 Mn |
| Mar 28, 2025 | 23.33 Mn |
| Dec 27, 2024 | 21.25 Mn |
| Sep 27, 2024 | 22.09 Mn |
| Jun 28, 2024 | 19.14 Mn |
| Mar 29, 2024 | 19.63 Mn |
| Dec 29, 2023 | 19.32 Mn |
| Sep 29, 2023 | 20.43 Mn |
| Jun 30, 2023 | 20.89 Mn |
| Mar 31, 2023 | 24.18 Mn |
| Dec 30, 2022 | 18.93 Mn |
| Sep 30, 2022 | 20.57 Mn |
| Jun 24, 2022 | 18.53 Mn |
| Mar 25, 2022 | 17.03 Mn |
| Dec 24, 2021 | 17.79 Mn |
| Sep 24, 2021 | 20.59 Mn |
API Access
Fabrinet 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=FN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();