Dolby Laboratories (DLB) EV to EBITDA (2010 - 2026)
Dolby Laboratories' (DLB) EV to EBITDA came in at 13.20 for fiscal Q3 2026 (quarter ended Jun 26, 2026), down 24.1% from 17.38 a year earlier and down 8.0% from the prior quarter.
Dolby Laboratories (DLB) EV to EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 26, 2026, EV to EBITDA at Dolby Laboratories was 7.35, down 43.3% year-over-year; for FY2025 (ended Sep 26, 2025), it was 17.71, down 12.4% from FY2024.
- In prior fiscal years, Dolby Laboratories' EV to EBITDA was 20.22 in FY2024 (-10.3%), 22.54 in FY2023 (+16.5%), 19.35 in FY2022 (+5.2%) and 18.40 in FY2021 (+5.0%).
- The fiscal Q3 2026 figure stands as the lowest quarterly EV to EBITDA since fiscal Q3 2017.
- On a year-over-year basis, EV to EBITDA has declined in each of the last eight quarters, with an average decline of 21.5% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q1 2024, with growth of 35.3%; the weakest was fiscal Q2 2026, with a decline of 28.3%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 14.34 (Q2 2026), 16.74 (Q1 2026) and 17.71 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 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 |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn |
| 10 | Dolby Laboratories | 5.48 Bn | 2.88 Bn | 264.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 13.20 |
| Mar 27, 2026 | 14.34 |
| Dec 26, 2025 | 16.74 |
| Sep 26, 2025 | 17.71 |
| Jun 27, 2025 | 17.38 |
| Mar 28, 2025 | 19.98 |
| Dec 27, 2024 | 19.86 |
| Sep 27, 2024 | 20.22 |
| Jun 28, 2024 | 23.70 |
| Mar 29, 2024 | 27.14 |
| Dec 29, 2023 | 27.64 |
| Sep 29, 2023 | 22.54 |
| Jun 30, 2023 | 21.82 |
| Mar 31, 2023 | 20.54 |
| Dec 30, 2022 | 20.43 |
| Sep 30, 2022 | 19.35 |
| Jul 1, 2022 | 19.36 |
| Apr 1, 2022 | 21.49 |
| Dec 31, 2021 | 23.15 |
| Sep 24, 2021 | 18.40 |
Dolby Laboratories EV to 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=ev-to-ebitda&ticker=DLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=DLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();