Netflix (NFLX) EV to EBITDA (2009 - 2026)
Netflix (NFLX) posted EV to EBITDA of 68.73 for Q2 2026, down 30.75% on a QoQ basis from 99.26 in Q1 2026, and down 53.72% year-over-year from 148.52 in Q2 2025.
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Analysis
Netflix (NFLX) EV to EBITDA (2009 - 2026) Analysis & Trends
Netflix has reported EV to EBITDA for 18 years, with the latest figure at 68.73 in Q2 2026.
- On a quarterly basis, EV to EBITDA fell 53.72% year-over-year to 68.73 in Q2 2026; TTM through Jun 2026 was 20.08, a 55.94% decrease from a year earlier, with the FY2025 full-year figure at 29.03, down 18.65% from the prior year.
- EV to EBITDA was 68.73 for Q2 2026 at Netflix, down from 99.26 in the prior quarter.
- The five-year high for EV to EBITDA was 227.81 in Q4 2022, with the low at 45.59 in Q2 2022.
- Average EV to EBITDA over 5 years is 111.75, with a median of 101.59 recorded in 2023.
- The sharpest annual moves came in 2022 and 2023: EV to EBITDA plunged 62.73% in 2022, then jumped 124.02% in 2023.
- Over 5 years, EV to EBITDA stood at 227.81 in 2022, then sank by 40.27% to 136.07 in 2023, then gained by 20.19% to 163.53 in 2024, then decreased by 20.0% to 130.83 in 2025, then sank by 47.46% to 68.73 in 2026.
- The last three EV to EBITDA figures came in at 68.73 (Q2 2026), 99.26 (Q1 2026), and 130.83 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,144.46 Bn | 3,901.99 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,981.30 Bn | 1,683.82 Bn | 49.47 Bn |
| 3 | Netflix | 296.22 Bn | 256.42 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 254.92 Bn | 72.79 Bn | 15.11 Bn |
| 5 | Shopify | 184.25 Bn | 161.43 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.00 Bn | 113.98 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.19 Bn | 56.24 Bn | - |
| 8 | PDD Holdings | 110.41 Bn | -141.52 Bn | 9.45 Bn |
| 9 | Spotify Technology | 104.89 Bn | 62.12 Bn | 1.86 Bn |
| 10 | AppLovin | 104.19 Bn | 94.23 Bn | 1.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.57 |
| Mar 31, 2026 | 27.49 |
| Dec 31, 2025 | 28.32 |
| Sep 30, 2025 | 38.45 |
| Jun 30, 2025 | 44.41 |
| Mar 31, 2025 | 33.93 |
| Dec 31, 2024 | 34.59 |
| Sep 30, 2024 | 29.47 |
| Jun 30, 2024 | 31.47 |
| Mar 31, 2024 | 30.96 |
| Dec 31, 2023 | 27.84 |
| Sep 30, 2023 | 24.70 |
| Jun 30, 2023 | 31.19 |
| Mar 31, 2023 | 25.45 |
| Dec 31, 2022 | 20.99 |
| Sep 30, 2022 | 16.38 |
| Jun 30, 2022 | 11.55 |
| Mar 31, 2022 | 24.86 |
| Dec 31, 2021 | 40.83 |
| Sep 30, 2021 | 39.26 |
API Access
Netflix 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=NFLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "NFLX", "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=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();