Cirrus Logic (CRUS) Receivables (2011 - 2026)
Cirrus Logic (CRUS) posted Receivables of $253.97 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 18.6% from $214.09 million a year earlier and up 15.4% from the prior quarter.
Cirrus Logic (CRUS) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Cirrus Logic's Receivables came in at $220.15 million, up 1.9% from FY2025.
- Annual Receivables has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 15.2% (FY2021 to FY2026).
- In prior fiscal years, Cirrus Logic's Receivables was $216.01 million in FY2025 (+32.9%), $162.48 million in FY2024 (+8.0%), $150.47 million in FY2023 (-37.4%) and $240.26 million in FY2022 (+121.0%).
- Quarterly Receivables has run from a low of $150.47 million in fiscal Q4 2023 to a high of $355.4 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last ten quarters, with growth averaging 15.3% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2022, with growth of 121.0%; the weakest was fiscal Q4 2023, with a decline of 37.4%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $220.15 million (Q4 2026), $278.99 million (Q3 2026) and $355.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Cirrus Logic | 6.07 Bn | 2.83 Bn | 241.86 Mn | 253.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 253.97 Mn |
| Mar 28, 2026 | 220.15 Mn |
| Dec 27, 2025 | 278.99 Mn |
| Sep 27, 2025 | 355.40 Mn |
| Jun 28, 2025 | 214.09 Mn |
| Mar 29, 2025 | 216.01 Mn |
| Dec 28, 2024 | 261.94 Mn |
| Sep 28, 2024 | 324.10 Mn |
| Jun 29, 2024 | 190.08 Mn |
| Mar 30, 2024 | 162.48 Mn |
| Dec 30, 2023 | 217.27 Mn |
| Sep 23, 2023 | 271.89 Mn |
| Jun 24, 2023 | 186.03 Mn |
| Mar 25, 2023 | 150.47 Mn |
| Dec 24, 2022 | 270.49 Mn |
| Sep 24, 2022 | 304.55 Mn |
| Jun 25, 2022 | 206.27 Mn |
| Mar 26, 2022 | 240.26 Mn |
| Dec 25, 2021 | 326.13 Mn |
| Sep 25, 2021 | 280.97 Mn |
Cirrus Logic Receivables 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=receivables&ticker=CRUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();