Sanmina (SANM) Restructuring Costs (2010 - 2026)
Sanmina (SANM) posted Restructuring Costs of $1.58 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 233.2% from $473,000 a year earlier and up 98.5% from the prior quarter.
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Analysis
Sanmina (SANM) Restructuring Costs (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Restructuring Costs at Sanmina was $77 million; for FY2025 (ended Sep 27, 2025), it came in at $34.16 million, up 234.0% from FY2024.
- Annual Restructuring Costs shows a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In prior fiscal years, Sanmina's Restructuring Costs was $10.23 million in FY2024 (+68.9%), $6.05 million in FY2023 (-11.2%), $6.82 million in FY2022 (-54.7%) and $15.06 million in FY2021 (-46.1%).
- Quarterly Restructuring Costs has run from a low of $296,000 in fiscal Q3 2023 to a high of $43.36 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Restructuring Costs increased in two of the last seven quarters, with growth averaging 136.7%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was fiscal Q4 2025, with growth of 952.6%; the weakest was fiscal Q3 2023, with a decline of 92.6%.
- According to Business Quant data, Restructuring Costs for the three prior fiscal quarters was $794,000 (Q2 2026), $43.36 million (Q1 2026) and $31.26 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn |
| 10 | Sanmina | 9.52 Bn | 3.76 Bn | 363.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.58 Mn |
| Mar 28, 2026 | 794,000.00 |
| Dec 27, 2025 | 43.36 Mn |
| Sep 27, 2025 | 31.26 Mn |
| Jun 28, 2025 | 473,000.00 |
| Mar 29, 2025 | 990,000.00 |
| Dec 28, 2024 | 1.44 Mn |
| Sep 28, 2024 | 2.97 Mn |
| Jun 29, 2024 | 1.79 Mn |
| Mar 30, 2024 | 3.27 Mn |
| Dec 30, 2023 | 2.19 Mn |
| Sep 30, 2023 | 4.32 Mn |
| Jul 1, 2023 | 296,000.00 |
| Apr 1, 2023 | 804,000.00 |
| Dec 31, 2022 | 631,000.00 |
| Oct 1, 2022 | 3.09 Mn |
| Jul 2, 2022 | 3.99 Mn |
| Apr 2, 2022 | 2.93 Mn |
| Jan 1, 2022 | 1.41 Mn |
| Oct 2, 2021 | 1.66 Mn |
API Access
Sanmina Restructuring Costs 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=restructuring-costs&ticker=SANM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=SANM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();