Dolby Laboratories (DLB) Inventory (2009 - 2026)
Dolby Laboratories (DLB) posted Inventory of $30.77 million for fiscal Q3 2026 (quarter ended Jun 26, 2026), down 5.1% from $32.42 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Dolby Laboratories (DLB) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 26, 2025), Dolby Laboratories' Inventory came in at $30.42 million, down 9.8% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior fiscal years, Dolby Laboratories' Inventory was $33.73 million in FY2024 (-5.3%), $35.62 million in FY2023 (+51.3%), $23.55 million in FY2022 (+114.8%) and $10.97 million in FY2021 (-57.1%).
- Quarterly Inventory has run from a low of $10.97 million in fiscal Q4 2021 to a high of $37.57 million in fiscal Q1 2024 over five years.
- On a year-over-year basis, Inventory has declined in each of the last eight quarters, with an average decline of 6.9% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q4 2022, with growth of 114.8%; the weakest was fiscal Q4 2021, with a decline of 57.1%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $31.93 million (Q2 2026), $31.26 million (Q1 2026) and $30.42 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 25,315.76 Bn | 25,299.34 Bn | 43.99 Bn | 11.67 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,307.80 Bn | 10,042.23 Bn | - | 9.22 Bn |
| 3 | Nvidia | 4,179.08 Bn | 3,953.24 Bn | 72.14 Bn | 31.58 Bn |
| 4 | Broadcom | 1,586.53 Bn | 1,512.57 Bn | 20.46 Bn | 4.52 Bn |
| 5 | Advanced Micro Devices | 875.82 Bn | 824.04 Bn | 7.21 Bn | 11.46 Bn |
| 6 | Micron Technology | 828.06 Bn | 733.70 Bn | 47.05 Bn | 10.37 Bn |
| 7 | Asml Holding | 596.24 Bn | 551.71 Bn | - | 13.43 Bn |
| 8 | Intel | 312.07 Bn | 158.13 Bn | 7.10 Bn | 13.07 Bn |
| 9 | Applied Materials | 301.25 Bn | 266.69 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Dolby Laboratories | 6.03 Bn | 3.42 Bn | 264.68 Mn | 30.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 30.77 Mn |
| Mar 27, 2026 | 31.93 Mn |
| Dec 26, 2025 | 31.26 Mn |
| Sep 26, 2025 | 30.42 Mn |
| Jun 27, 2025 | 32.42 Mn |
| Mar 28, 2025 | 34.59 Mn |
| Dec 27, 2024 | 31.83 Mn |
| Sep 27, 2024 | 33.73 Mn |
| Jun 28, 2024 | 34.72 Mn |
| Mar 29, 2024 | 35.80 Mn |
| Dec 29, 2023 | 37.57 Mn |
| Sep 29, 2023 | 35.62 Mn |
| Jun 30, 2023 | 32.40 Mn |
| Mar 31, 2023 | 30.35 Mn |
| Dec 30, 2022 | 26.11 Mn |
| Sep 30, 2022 | 23.55 Mn |
| Jul 1, 2022 | 24.10 Mn |
| Apr 1, 2022 | 16.62 Mn |
| Dec 31, 2021 | 13.14 Mn |
| Sep 24, 2021 | 10.97 Mn |
API Access
Dolby Laboratories Inventory 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=inventory&ticker=DLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "DLB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=DLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();