Netflix (NFLX) Price to Earnings (2009 - 2026)
Netflix (NFLX) posted Price to Earnings of 87.41 for Q2 2026, up 14.0% on a QoQ basis from 76.68 in Q1 2026, and down 51.99% year-over-year from 182.06 in Q2 2025.
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Analysis
Netflix (NFLX) Price to Earnings (2009 - 2026) Analysis & Trends
Netflix has reported Price to Earnings for 18 years, with the latest figure at 87.41 in Q2 2026.
- On a quarterly basis, Price to Earnings fell 51.99% year-over-year to 87.41 in Q2 2026; TTM through Jun 2026 was 21.78, a 60.77% decrease from a year earlier, with the FY2025 full-year figure at 36.05, down 17.63% from the prior year.
- Price to Earnings was 87.41 for Q2 2026 at Netflix, up from 76.68 in the prior quarter.
- The five-year high for Price to Earnings was 2375.6 in Q4 2022, with the low at 53.98 in Q2 2022.
- Average Price to Earnings over 5 years is 255.94, with a median of 129.75 recorded in 2023.
- The sharpest annual moves came in 2022 and 2023: Price to Earnings surged 439.56% in 2022, then plunged 90.54% in 2023.
- Over 5 years, Price to Earnings stood at 2375.6 in 2022, then slumped by 90.54% to 224.68 in 2023, then dropped by 9.19% to 204.03 in 2024, then declined by 19.78% to 163.68 in 2025, then sank by 46.6% to 87.41 in 2026.
- The last three Price to Earnings figures came in at 87.41 (Q2 2026), 76.68 (Q1 2026), and 163.68 (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 | 21.78 |
| Mar 31, 2026 | 30.29 |
| Dec 31, 2025 | 36.05 |
| Sep 30, 2025 | 48.70 |
| Jun 30, 2025 | 55.53 |
| Mar 31, 2025 | 42.82 |
| Dec 31, 2024 | 43.76 |
| Sep 30, 2024 | 38.97 |
| Jun 30, 2024 | 40.82 |
| Mar 31, 2024 | 40.67 |
| Dec 31, 2023 | 38.96 |
| Sep 30, 2023 | 36.52 |
| Jun 30, 2023 | 45.97 |
| Mar 31, 2023 | 36.57 |
| Dec 31, 2022 | 29.24 |
| Sep 30, 2022 | 20.77 |
| Jun 30, 2022 | 15.27 |
| Mar 31, 2022 | 33.24 |
| Dec 31, 2021 | 52.27 |
| Sep 30, 2021 | 53.52 |
API Access
Netflix Price to Earnings 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=price-to-earnings&ticker=NFLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();