Cirrus Logic (CRUS) EBITDA (2010 - 2026)
Cirrus Logic (CRUS) recorded EBITDA of $97.59 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 14.1% from $85.57 million a year earlier but down 5.8% from the prior quarter.
Cirrus Logic (CRUS) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Cirrus Logic's EBITDA came in at $524.71 million as of Jun 27, 2026, up 7.6% year-over-year; for FY2026 (ended Mar 28, 2026), it was $512.68 million, up 11.1% from FY2025.
- Annual EBITDA has increased for three straight fiscal years, with a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $461.31 million in FY2025 (+17.8%), $391.76 million in FY2024 (+22.3%), $320.23 million in FY2023 (-25.2%) and $428.4 million in FY2022 (+50.7%).
- Quarterly EBITDA has ranged from -$44 million in fiscal Q4 2023 to $180.28 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, EBITDA has increased for six consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 243.6% in fiscal Q4 2022, against a decline of 58.0% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $103.64 million (Q4 2026), $166 million (Q3 2026) and $157.47 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 64.86 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 | 18.17 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Cirrus Logic | 6.07 Bn | 2.83 Bn | 241.86 Mn | 97.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 97.59 Mn |
| Mar 28, 2026 | 103.64 Mn |
| Dec 27, 2025 | 166.00 Mn |
| Sep 27, 2025 | 157.47 Mn |
| Jun 28, 2025 | 85.57 Mn |
| Mar 29, 2025 | 99.10 Mn |
| Dec 28, 2024 | 158.59 Mn |
| Sep 28, 2024 | 144.47 Mn |
| Jun 29, 2024 | 59.15 Mn |
| Mar 30, 2024 | 64.39 Mn |
| Dec 30, 2023 | 180.28 Mn |
| Sep 23, 2023 | 117.36 Mn |
| Jun 24, 2023 | 29.73 Mn |
| Mar 25, 2023 | -44.00 Mn |
| Dec 24, 2022 | 160.00 Mn |
| Sep 24, 2022 | 133.44 Mn |
| Jun 25, 2022 | 70.79 Mn |
| Mar 26, 2022 | 124.77 Mn |
| Dec 25, 2021 | 161.62 Mn |
| Sep 25, 2021 | 111.01 Mn |
Cirrus Logic EBITDA 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=ebitda&ticker=CRUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();