Cirrus Logic (CRUS) Operating Leases (2019 - 2026)
Cirrus Logic (CRUS) posted Operating Leases of $109.7 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 8.8% from $120.27 million a year earlier and down 3.9% from the prior quarter.
Cirrus Logic (CRUS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Cirrus Logic's Operating Leases came in at $114.11 million, down 6.4% from FY2025.
- Annual Operating Leases shows a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- In prior fiscal years, Cirrus Logic's Operating Leases was $121.91 million in FY2025 (-9.4%), $134.58 million in FY2024 (+9.7%), $122.63 million in FY2023 (-24.8%) and $163.16 million in FY2022 (+27.6%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined in each of the last eight quarters, with an average decline of 7.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q4 2022, with growth of 27.6%; the weakest was fiscal Q4 2023, with a decline of 24.8%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $114.11 million (Q4 2026), $117.6 million (Q3 2026) and $120.99 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 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 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Cirrus Logic | 6.07 Bn | 2.83 Bn | 241.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 109.70 Mn |
| Mar 28, 2026 | 114.11 Mn |
| Dec 27, 2025 | 117.60 Mn |
| Sep 27, 2025 | 120.99 Mn |
| Jun 28, 2025 | 120.27 Mn |
| Mar 29, 2025 | 121.91 Mn |
| Dec 28, 2024 | 124.62 Mn |
| Sep 28, 2024 | 129.81 Mn |
| Jun 29, 2024 | 132.02 Mn |
| Mar 30, 2024 | 134.58 Mn |
| Dec 30, 2023 | 138.42 Mn |
| Sep 23, 2023 | 136.04 Mn |
| Jun 24, 2023 | 125.07 Mn |
| Mar 25, 2023 | 122.63 Mn |
| Dec 24, 2022 | 143.25 Mn |
| Sep 24, 2022 | 152.29 Mn |
| Jun 25, 2022 | 159.34 Mn |
| Mar 26, 2022 | 163.16 Mn |
| Dec 25, 2021 | 164.90 Mn |
| Sep 25, 2021 | 122.82 Mn |
Cirrus Logic Operating Leases 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-leases&ticker=CRUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=CRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();