Sanmina (SANM) Operating Expenses (2010 - 2026)
Sanmina's Operating Expenses came in at $142.08 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 66.8% from $85.17 million a year earlier but down 27.8% from the prior quarter.
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Analysis
Sanmina (SANM) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Sanmina reported Operating Expenses of $620.32 million, up 87.5% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $361.79 million, up 18.6% from FY2024.
- Operating Expenses has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $304.94 million in FY2024 (+6.0%), $287.55 million in FY2023 (+5.4%), $272.73 million in FY2022 (+0.8%) and $270.51 million in FY2021 (-9.2%).
- The five-year range for quarterly Operating Expenses is $63.06 million (fiscal Q1 2022) to $196.78 million (fiscal Q2 2026).
- Year-over-year, Operating Expenses has increased for eight consecutive quarters, with growth averaging 49.4% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2026 (growth of 132.6%), and the weakest in fiscal Q2 2022 (a decline of 10.4%).
- Business Quant data shows SANM's Operating Expenses at $196.78 million (Q2 2026), $168.76 million (Q1 2026) and $112.69 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Sanmina | 9.52 Bn | 3.76 Bn | 363.31 Mn | 142.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 142.08 Mn |
| Mar 28, 2026 | 196.78 Mn |
| Dec 27, 2025 | 168.76 Mn |
| Sep 27, 2025 | 112.69 Mn |
| Jun 28, 2025 | 85.17 Mn |
| Mar 29, 2025 | 84.62 Mn |
| Dec 28, 2024 | 79.31 Mn |
| Sep 28, 2024 | 81.70 Mn |
| Jun 29, 2024 | 71.17 Mn |
| Mar 30, 2024 | 78.80 Mn |
| Dec 30, 2023 | 73.26 Mn |
| Sep 30, 2023 | 74.16 Mn |
| Jul 1, 2023 | 75.84 Mn |
| Apr 1, 2023 | 70.59 Mn |
| Dec 31, 2022 | 66.96 Mn |
| Oct 1, 2022 | 68.88 Mn |
| Jul 2, 2022 | 70.57 Mn |
| Apr 2, 2022 | 70.22 Mn |
| Jan 1, 2022 | 63.06 Mn |
| Oct 2, 2021 | 64.13 Mn |
API Access
Sanmina 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=SANM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SANM", "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=SANM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();