Cirrus Logic (CRUS) Total Liabilities (2011 - 2026)
Cirrus Logic's Total Liabilities came in at $371.15 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 1.8% from $364.43 million a year earlier and up 2.7% from the prior quarter.
Cirrus Logic (CRUS) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Cirrus Logic's Total Liabilities was $361.38 million, down 4.3% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of -3.9% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $377.62 million in FY2025 (-8.9%), $414.56 million in FY2024 (+2.2%), $405.68 million in FY2023 (-22.5%) and $523.58 million in FY2022 (+18.6%).
- The five-year range for quarterly Total Liabilities is $353.29 million (fiscal Q3 2026) to $758.07 million (fiscal Q2 2022).
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 5.2%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2022 (growth of 97.9%), and the weakest in fiscal Q2 2023 (a decline of 32.8%).
- Business Quant data shows CRUS's Total Liabilities at $361.38 million (Q4 2026), $353.29 million (Q3 2026) and $387.24 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Cirrus Logic | 6.07 Bn | 2.83 Bn | 241.86 Mn | 371.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 371.15 Mn |
| Mar 28, 2026 | 361.38 Mn |
| Dec 27, 2025 | 353.29 Mn |
| Sep 27, 2025 | 387.24 Mn |
| Jun 28, 2025 | 364.43 Mn |
| Mar 29, 2025 | 377.62 Mn |
| Dec 28, 2024 | 400.44 Mn |
| Sep 28, 2024 | 428.01 Mn |
| Jun 29, 2024 | 418.00 Mn |
| Mar 30, 2024 | 414.56 Mn |
| Dec 30, 2023 | 416.35 Mn |
| Sep 23, 2023 | 396.10 Mn |
| Jun 24, 2023 | 399.80 Mn |
| Mar 25, 2023 | 405.68 Mn |
| Dec 24, 2022 | 449.57 Mn |
| Sep 24, 2022 | 509.45 Mn |
| Jun 25, 2022 | 506.72 Mn |
| Mar 26, 2022 | 523.58 Mn |
| Dec 25, 2021 | 505.37 Mn |
| Sep 25, 2021 | 758.07 Mn |
Cirrus Logic Total Liabilities 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=total-liabilities&ticker=CRUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();