Dolby Laboratories (DLB) Operating Leases (2019 - 2026)
Dolby Laboratories (DLB) reported Operating Leases of $37.59 million for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 33.5% from $28.16 million a year earlier but down 5.6% from the prior quarter.
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Analysis
Dolby Laboratories (DLB) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 26, 2025), Dolby Laboratories posted Operating Leases of $28.49 million, down 18.0% from FY2024.
- Operating Leases has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -15.3% (FY2020 to FY2025).
- By fiscal year, Operating Leases came in at $34.75 million in FY2024 (-6.1%), $37.02 million in FY2023 (-1.8%), $37.69 million in FY2022 (-33.6%) and $56.72 million in FY2021 (-13.2%).
- Five-year quarterly Operating Leases spans a low of $28.16 million in fiscal Q3 2025 and a high of $56.72 million in fiscal Q4 2021.
- Year over year, Operating Leases gained in two of the last eight quarters, with an average decline of 1.3%.
- The high point for year-over-year Operating Leases in five years was fiscal Q2 2026 (growth of 34.3%); the low point was fiscal Q1 2023 (a decline of 35.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $39.83 million (Q2 2026), $30.31 million (Q1 2026) and $28.49 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn |
| 10 | Dolby Laboratories | 5.87 Bn | 3.26 Bn | 264.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 37.59 Mn |
| Mar 27, 2026 | 39.83 Mn |
| Dec 26, 2025 | 30.31 Mn |
| Sep 26, 2025 | 28.49 Mn |
| Jun 27, 2025 | 28.16 Mn |
| Mar 28, 2025 | 29.66 Mn |
| Dec 27, 2024 | 33.02 Mn |
| Sep 27, 2024 | 34.75 Mn |
| Jun 28, 2024 | 35.62 Mn |
| Mar 29, 2024 | 37.71 Mn |
| Dec 29, 2023 | 34.32 Mn |
| Sep 29, 2023 | 37.02 Mn |
| Jun 30, 2023 | 36.55 Mn |
| Mar 31, 2023 | 35.24 Mn |
| Dec 30, 2022 | 34.22 Mn |
| Sep 30, 2022 | 37.69 Mn |
| Jul 1, 2022 | 44.26 Mn |
| Apr 1, 2022 | 48.19 Mn |
| Dec 31, 2021 | 52.62 Mn |
| Sep 24, 2021 | 56.72 Mn |
API Access
Dolby Laboratories Operating Leases 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=operating-leases&ticker=DLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();