Netflix (NFLX) Revenue (2009 - 2026)
Netflix's Revenue came in at $12.87 billion for Q3 2026, up 11.8% from $11.51 billion a year earlier and up 2.5% from the prior quarter.
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Analysis
Netflix (NFLX) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Netflix reported Revenue of $49.73 billion, up 14.7% year-over-year; for FY2025, it came in at $45.18 billion, up 15.9% from FY2024.
- Revenue has increased in each of the last 16 years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Going back by year, Revenue was $39 billion in FY2024 (+15.6%), $33.72 billion in FY2023 (+6.7%), $31.62 billion in FY2022 (+6.5%) and $29.7 billion in FY2021 (+18.8%).
- The Q3 2026 figure represents the highest quarterly Revenue in data going back to Q1 2009.
- Year-over-year, Revenue has increased for 67 consecutive quarters, with growth averaging 15.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 1.9% (Q4 2022) to 17.6% (Q4 2025).
- Business Quant data shows NFLX's Revenue at $12.56 billion (Q2 2026), $12.25 billion (Q1 2026) and $12.05 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 127.58 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 64.60 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 12.87 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 39.64 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 3.74 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 14.77 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 2.18 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 5.72 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 8.89 Bn |
| 10 | PDD Holdings | 116.11 Bn | -127.94 Bn | 9.48 Bn | 16.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.87 Bn |
| Jun 30, 2026 | 12.56 Bn |
| Mar 31, 2026 | 12.25 Bn |
| Dec 31, 2025 | 12.05 Bn |
| Sep 30, 2025 | 11.51 Bn |
| Jun 30, 2025 | 11.08 Bn |
| Mar 31, 2025 | 10.54 Bn |
| Dec 31, 2024 | 10.25 Bn |
| Sep 30, 2024 | 9.82 Bn |
| Jun 30, 2024 | 9.56 Bn |
| Mar 31, 2024 | 9.37 Bn |
| Dec 31, 2023 | 8.83 Bn |
| Sep 30, 2023 | 8.54 Bn |
| Jun 30, 2023 | 8.19 Bn |
| Mar 31, 2023 | 8.16 Bn |
| Dec 31, 2022 | 7.85 Bn |
| Sep 30, 2022 | 7.93 Bn |
| Jun 30, 2022 | 7.97 Bn |
| Mar 31, 2022 | 7.87 Bn |
| Dec 31, 2021 | 7.71 Bn |
API Access
Netflix Revenue 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=revenue&ticker=NFLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();