Cirrus Logic (CRUS) Operating Expenses (2010 - 2026)
Cirrus Logic's Operating Expenses came in at $157.42 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 11.1% from $141.64 million a year earlier and up 6.8% from the prior quarter.
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Analysis
Cirrus Logic (CRUS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Cirrus Logic reported Operating Expenses of $609.58 million, up 4.2% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $593.79 million, up 1.4% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $585.68 million in FY2025 (+2.3%), $572.61 million in FY2024 (-19.1%), $707.95 million in FY2023 (+27.0%) and $557.3 million in FY2022 (+18.5%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Expenses since fiscal Q4 2023.
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2023 (growth of 65.2%), and the weakest in fiscal Q4 2024 (a decline of 43.7%).
- Business Quant data shows CRUS's Operating Expenses at $147.35 million (Q4 2026), $155.2 million (Q3 2026) and $149.61 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Cirrus Logic | 6.07 Bn | 2.83 Bn | 241.86 Mn | 157.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 157.42 Mn |
| Mar 28, 2026 | 147.35 Mn |
| Dec 27, 2025 | 155.20 Mn |
| Sep 27, 2025 | 149.61 Mn |
| Jun 28, 2025 | 141.64 Mn |
| Mar 29, 2025 | 140.79 Mn |
| Dec 28, 2024 | 152.02 Mn |
| Sep 28, 2024 | 150.74 Mn |
| Jun 29, 2024 | 142.13 Mn |
| Mar 30, 2024 | 140.25 Mn |
| Dec 30, 2023 | 149.92 Mn |
| Sep 23, 2023 | 140.85 Mn |
| Jun 24, 2023 | 141.59 Mn |
| Mar 25, 2023 | 249.20 Mn |
| Dec 24, 2022 | 155.33 Mn |
| Sep 24, 2022 | 155.07 Mn |
| Jun 25, 2022 | 148.36 Mn |
| Mar 26, 2022 | 150.86 Mn |
| Dec 25, 2021 | 145.35 Mn |
| Sep 25, 2021 | 140.25 Mn |
API Access
Cirrus Logic 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=CRUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CRUS", "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=CRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();