Netflix (NFLX) Price to Book (2009 - 2026)
Netflix (NFLX) posted Price to Book of 9.86 for Q2 2026, down 24.23% on a QoQ basis from 13.01 in Q1 2026, and down 56.76% year-over-year from 22.8 in Q2 2025.
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Analysis
Netflix (NFLX) Price to Book (2009 - 2026) Analysis & Trends
Netflix has reported Price to Book for 18 years, with the latest figure at 9.86 in Q2 2026.
- On a quarterly basis, Price to Book fell 56.76% year-over-year to 9.86 in Q2 2026; TTM through Jun 2026 was 9.86, a 56.76% decrease from a year earlier, with the FY2025 full-year figure at 14.87, down 3.47% from the prior year.
- Price to Book was 9.86 for Q2 2026 at Netflix, down from 13.01 in the prior quarter.
- The five-year high for Price to Book was 22.8 in Q2 2025, with the low at 4.08 in Q2 2022.
- Average Price to Book over 5 years is 11.61, with a median of 11.24 recorded in 2023.
- The sharpest annual moves came in 2022 and 2023: Price to Book sank 75.82% in 2022, then jumped 109.69% in 2023.
- Over 5 years, Price to Book stood at 6.32 in 2022, then surged by 61.91% to 10.23 in 2023, then surged by 50.55% to 15.41 in 2024, then dropped by 3.47% to 14.87 in 2025, then slumped by 33.71% to 9.86 in 2026.
- The last three Price to Book figures came in at 9.86 (Q2 2026), 13.01 (Q1 2026), and 14.87 (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 | 9.86 |
| Mar 31, 2026 | 13.01 |
| Dec 31, 2025 | 14.87 |
| Sep 30, 2025 | 19.57 |
| Jun 30, 2025 | 22.80 |
| Mar 31, 2025 | 16.52 |
| Dec 31, 2024 | 15.41 |
| Sep 30, 2024 | 13.34 |
| Jun 30, 2024 | 13.10 |
| Mar 31, 2024 | 12.25 |
| Dec 31, 2023 | 10.23 |
| Sep 30, 2023 | 7.48 |
| Jun 30, 2023 | 8.55 |
| Mar 31, 2023 | 7.04 |
| Dec 31, 2022 | 6.32 |
| Sep 30, 2022 | 5.10 |
| Jun 30, 2022 | 4.08 |
| Mar 31, 2022 | 9.49 |
| Dec 31, 2021 | 16.87 |
| Sep 30, 2021 | 17.65 |
API Access
Netflix Price to Book 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-book&ticker=NFLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();