Cirrus Logic (CRUS) Capital Expenditures (2010 - 2026)
Cirrus Logic's Capital Expenditures was $15.14 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 474.0% from $2.64 million a year earlier and up 532.0% from the prior quarter.
Cirrus Logic (CRUS) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cirrus Logic's Capital Expenditures was $26.49 million through Jun 27, 2026, up 71.8% year-over-year; for FY2026 (ended Mar 28, 2026), it was $13.99 million, down 38.6% from FY2025.
- Capital Expenditures shows a five-year compound annual growth rate of -5.2% (FY2021 to FY2026).
- In earlier fiscal years, Capital Expenditures was $22.78 million in FY2025 (-39.5%), $37.65 million in FY2024 (+7.3%), $35.09 million in FY2023 (+34.2%) and $26.14 million in FY2022 (+43.2%).
- The fiscal Q1 2027 figure marks the highest quarterly Capital Expenditures since fiscal Q4 2018.
- Compared with a year earlier, Capital Expenditures was higher in two of the last eight quarters, with growth averaging 29.9%.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q1 2027 (growth of 474.0%); the worst was fiscal Q1 2026 (a decline of 73.6%).
- Per Business Quant data, CRUS's Capital Expenditures in the three fiscal quarters before Q1 2027 was $2.4 million (Q4 2026), $5.09 million (Q3 2026) and $3.87 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Cirrus Logic | 6.07 Bn | 2.83 Bn | 241.86 Mn | 15.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 15.14 Mn |
| Mar 28, 2026 | 2.40 Mn |
| Dec 27, 2025 | 5.09 Mn |
| Sep 27, 2025 | 3.87 Mn |
| Jun 28, 2025 | 2.64 Mn |
| Mar 29, 2025 | 3.43 Mn |
| Dec 28, 2024 | 6.69 Mn |
| Sep 28, 2024 | 2.67 Mn |
| Jun 29, 2024 | 9.99 Mn |
| Mar 30, 2024 | 7.06 Mn |
| Dec 30, 2023 | 9.81 Mn |
| Sep 23, 2023 | 8.47 Mn |
| Jun 24, 2023 | 12.31 Mn |
| Mar 25, 2023 | 11.33 Mn |
| Dec 24, 2022 | 6.78 Mn |
| Sep 24, 2022 | 10.21 Mn |
| Jun 25, 2022 | 6.78 Mn |
| Mar 26, 2022 | 8.05 Mn |
| Dec 25, 2021 | 3.36 Mn |
| Sep 25, 2021 | 3.89 Mn |
Cirrus Logic Capital Expenditures 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=capital-expenditures&ticker=CRUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();