Semtech (SMTC) Accumulated Expenses (2010 - 2026)
Semtech's Accumulated Expenses came in at $155.18 million for fiscal Q2 2027 (quarter ended Jul 26, 2026), down 9.9% from $172.24 million a year earlier.
Semtech (SMTC) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 25, 2026), Semtech's Accumulated Expenses was $191.8 million, up 7.6% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 26.4% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $178.2 million in FY2025 (+3.5%), $172.11 million in FY2024 (-32.0%), $253.08 million in FY2023 (+225.7%) and $77.7 million in FY2022 (+30.9%).
- The fiscal Q2 2027 figure represents the lowest quarterly Accumulated Expenses since fiscal Q2 2025.
- Year-over-year, Accumulated Expenses increased in five of the last seven quarters, with growth averaging 2.7%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2023 (growth of 225.7%), and the weakest in fiscal Q4 2024 (a decline of 32.0%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,478.79 Bn | 5,252.95 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,307.33 Bn | 1,926.59 Bn | 27.22 Bn |
| 3 | Broadcom | 1,692.26 Bn | 1,618.31 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,116.28 Bn | 1,021.92 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 970.34 Bn | 927.09 Bn | 6.20 Bn |
| 6 | Asml Holding | 680.68 Bn | 636.37 Bn | 5.90 Bn |
| 7 | Intel | 517.24 Bn | 386.37 Bn | 6.51 Bn |
| 8 | Applied Materials | 395.12 Bn | 360.56 Bn | 4.59 Bn |
| 9 | Lam Research | 388.55 Bn | 365.34 Bn | 3.48 Bn |
| 10 | Semtech | 15.68 Bn | 14.95 Bn | 183.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 155.18 Mn |
| Jan 25, 2026 | 191.80 Mn |
| Oct 26, 2025 | 179.93 Mn |
| Jul 27, 2025 | 172.24 Mn |
| Apr 27, 2025 | 166.82 Mn |
| Jan 26, 2025 | 178.20 Mn |
| Oct 27, 2024 | 171.62 Mn |
| Jul 28, 2024 | 148.91 Mn |
| Apr 28, 2024 | 160.22 Mn |
| Jan 28, 2024 | 172.11 Mn |
| Oct 29, 2023 | 183.99 Mn |
| Jul 30, 2023 | 215.69 Mn |
| Apr 30, 2023 | 192.65 Mn |
| Jan 29, 2023 | 253.08 Mn |
| Oct 30, 2022 | 95.02 Mn |
| Jul 31, 2022 | 86.37 Mn |
| May 1, 2022 | 60.79 Mn |
| Jan 30, 2022 | 77.70 Mn |
| Oct 31, 2021 | 77.48 Mn |
| Aug 1, 2021 | 63.89 Mn |
Semtech Accumulated 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=accumulated-expenses&ticker=SMTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();