Semtech (SMTC) Operating Expenses (2009 - 2026)
Semtech (SMTC) reported Operating Expenses of $127.99 million for fiscal Q2 2027 (quarter ended Jul 26, 2026), down 14.8% from $150.3 million a year earlier.
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Analysis
Semtech (SMTC) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 26, 2026, Semtech's Operating Expenses came in at $542.25 million, up 18.4% year-over-year; for FY2026 (ended Jan 25, 2026), it was $509.58 million, up 25.3% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 12.6% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $406.59 million in FY2025 (-67.2%), $1.24 billion in FY2024 (+221.6%), $385.76 million in FY2023 (+22.0%) and $316.12 million in FY2022 (+12.5%).
- Five-year quarterly Operating Expenses spans a low of $70.73 million in fiscal Q2 2023 and a high of $619.57 million in fiscal Q4 2024.
- Year over year, Operating Expenses gained in three of the last seven quarters, with growth averaging 0.1%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2024 (growth of 466.7%); the low point was fiscal Q4 2025 (a decline of 82.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,478.79 Bn | 5,252.95 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,307.33 Bn | 1,926.59 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,692.26 Bn | 1,618.31 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,116.28 Bn | 1,021.92 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 970.34 Bn | 927.09 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 680.68 Bn | 636.37 Bn | 5.90 Bn | - |
| 7 | Intel | 517.24 Bn | 386.37 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Applied Materials | 395.12 Bn | 360.56 Bn | 4.59 Bn | 1.51 Bn |
| 9 | Lam Research | 388.55 Bn | 365.34 Bn | 3.48 Bn | 965.25 Mn |
| 10 | Semtech | 15.68 Bn | 14.95 Bn | 183.76 Mn | 127.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 127.99 Mn |
| Jan 25, 2026 | 156.54 Mn |
| Oct 26, 2025 | 107.42 Mn |
| Jul 27, 2025 | 150.30 Mn |
| Apr 27, 2025 | 95.32 Mn |
| Jan 26, 2025 | 109.27 Mn |
| Oct 27, 2024 | 103.18 Mn |
| Jul 28, 2024 | 97.70 Mn |
| Apr 28, 2024 | 96.45 Mn |
| Jan 28, 2024 | 619.57 Mn |
| Oct 29, 2023 | 105.34 Mn |
| Jul 30, 2023 | 400.84 Mn |
| Apr 30, 2023 | 114.83 Mn |
| Jan 29, 2023 | 155.67 Mn |
| Oct 30, 2022 | 77.20 Mn |
| Jul 31, 2022 | 70.73 Mn |
| May 1, 2022 | 82.15 Mn |
| Jan 30, 2022 | 74.19 Mn |
| Oct 31, 2021 | 86.27 Mn |
| Aug 1, 2021 | 78.77 Mn |
API Access
Semtech 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=SMTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SMTC", "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=SMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();