Netflix (NFLX) EBITDA (2009 - 2026)
Netflix (NFLX) posted EBITDA of $8.8 billion for Q3 2026, up 19.9% from $7.34 billion a year earlier and up 2.3% from the prior quarter.
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Analysis
Netflix (NFLX) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Netflix was $33.49 billion, up 16.3% year-over-year; for FY2025, it came in at $30.08 billion, up 15.5% from FY2024.
- Annual EBITDA has increased for 12 consecutive years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- In prior years, Netflix's EBITDA was $26.05 billion in FY2024 (+21.1%), $21.51 billion in FY2023 (+7.6%), $20 billion in FY2022 (+7.3%) and $18.63 billion in FY2021 (+20.2%).
- The Q3 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2009.
- On a year-over-year basis, EBITDA has increased in each of the last 43 quarters, with growth averaging 16.3% over the last eight quarters.
- The year-over-year growth in EBITDA has ranged between 1.0% (Q1 2023) and 22.1% (Q4 2024) over the last five years.
- According to Business Quant data, EBITDA for the three prior quarters was $8.6 billion (Q2 2026), $8.27 billion (Q1 2026) and $7.81 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 48.95 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 20.14 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 8.80 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | - |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 575.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 1.67 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 1.74 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 844.41 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 3.60 Bn |
| 10 | PDD Holdings | 116.11 Bn | -127.94 Bn | 9.48 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.80 Bn |
| Jun 30, 2026 | 8.60 Bn |
| Mar 31, 2026 | 8.27 Bn |
| Dec 31, 2025 | 7.81 Bn |
| Sep 30, 2025 | 7.34 Bn |
| Jun 30, 2025 | 7.69 Bn |
| Mar 31, 2025 | 7.25 Bn |
| Dec 31, 2024 | 6.51 Bn |
| Sep 30, 2024 | 6.69 Bn |
| Jun 30, 2024 | 6.45 Bn |
| Mar 31, 2024 | 6.39 Bn |
| Dec 31, 2023 | 5.34 Bn |
| Sep 30, 2023 | 5.58 Bn |
| Jun 30, 2023 | 5.33 Bn |
| Mar 31, 2023 | 5.26 Bn |
| Dec 31, 2022 | 4.59 Bn |
| Sep 30, 2022 | 5.27 Bn |
| Jun 30, 2022 | 4.92 Bn |
| Mar 31, 2022 | 5.21 Bn |
| Dec 31, 2021 | 4.44 Bn |
API Access
Netflix 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=ebitda&ticker=NFLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();