Dolby Laboratories (DLB) Sale and Maturity of Investments (2009 - 2025)
Powered by 
Analysis
Dolby Laboratories (DLB) Sale and Maturity of Investments (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Investments Sold (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 7.22 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 1.63 Bn |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 37.00 Mn |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 755.00 Mn |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 775.00 Mn |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | - |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | 4.29 Bn |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 1.35 Bn |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | - |
| 10 | Dolby Laboratories | 5.92 Bn | 3.32 Bn | 264.68 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2025 | 15.91 Mn |
| Sep 27, 2024 | 246.50 Mn |
| Jun 28, 2024 | 43.38 Mn |
| Mar 29, 2024 | 59.43 Mn |
| Dec 29, 2023 | 42.49 Mn |
| Sep 29, 2023 | 38.35 Mn |
| Jun 30, 2023 | 46.26 Mn |
| Mar 31, 2023 | 38.88 Mn |
| Dec 30, 2022 | 108.31 Mn |
| Sep 30, 2022 | 33.15 Mn |
| Jul 1, 2022 | 50.70 Mn |
| Apr 1, 2022 | 21.25 Mn |
| Dec 31, 2021 | 12.91 Mn |
| Sep 24, 2021 | 20.41 Mn |
| Jun 25, 2021 | 39.58 Mn |
| Mar 26, 2021 | 20.91 Mn |
| Dec 25, 2020 | 20.92 Mn |
| Sep 25, 2020 | 186.79 Mn |
| Jun 26, 2020 | 139.85 Mn |
| Mar 27, 2020 | 48.91 Mn |
API Access
Dolby Laboratories Sale and Maturity of Investments 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=sale-and-maturity-of-investments&ticker=DLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sale-and-maturity-of-investments", "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=sale-and-maturity-of-investments&ticker=DLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();