Dolby Laboratories (DLB) EBITDA (2009 - 2026)
Dolby Laboratories (DLB) reported EBITDA of $56.92 million for fiscal Q3 2026 (quarter ended Jun 26, 2026), down 18.2% from $69.57 million a year earlier and down 58.5% from the prior quarter.
Dolby Laboratories (DLB) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 26, 2026, Dolby Laboratories' EBITDA came in at $331.94 million, down 10.0% year-over-year; for FY2025 (ended Sep 26, 2025), it was $352.79 million, up 5.7% from FY2024.
- EBITDA has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $333.89 million in FY2024 (+11.9%), $298.31 million in FY2023 (+1.1%), $295.07 million in FY2022 (-33.0%) and $440.25 million in FY2021 (+42.2%).
- Five-year quarterly EBITDA spans a low of $17.64 million in fiscal Q4 2023 and a high of $137.04 million in fiscal Q2 2026.
- Year over year, EBITDA gained in five of the last eight quarters, with growth averaging 35.3%.
- The high point for year-over-year EBITDA in five years was fiscal Q4 2024 (growth of 284.0%); the low point was fiscal Q4 2023 (a decline of 61.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $137.04 million (Q2 2026), $86.31 million (Q1 2026) and $51.68 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 18.17 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Dolby Laboratories | 5.48 Bn | 2.88 Bn | 264.68 Mn | 56.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 56.92 Mn |
| Mar 27, 2026 | 137.04 Mn |
| Dec 26, 2025 | 86.31 Mn |
| Sep 26, 2025 | 51.68 Mn |
| Jun 27, 2025 | 69.57 Mn |
| Mar 28, 2025 | 129.30 Mn |
| Dec 27, 2024 | 102.24 Mn |
| Sep 27, 2024 | 67.71 Mn |
| Jun 28, 2024 | 55.09 Mn |
| Mar 29, 2024 | 126.99 Mn |
| Dec 29, 2023 | 84.09 Mn |
| Sep 29, 2023 | 17.64 Mn |
| Jun 30, 2023 | 36.98 Mn |
| Mar 31, 2023 | 130.46 Mn |
| Dec 30, 2022 | 113.24 Mn |
| Sep 30, 2022 | 46.19 Mn |
| Jul 1, 2022 | 69.12 Mn |
| Apr 1, 2022 | 65.71 Mn |
| Dec 31, 2021 | 114.06 Mn |
| Sep 24, 2021 | 65.52 Mn |
Dolby Laboratories EBITDA 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=ebitda&ticker=DLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();