Netflix (NFLX) Operating Income (2009 - 2026)
Netflix (NFLX) reported Operating Income of $4.19 billion for Q2 2026, up 11.1% from $3.77 billion a year earlier and up 6.0% from the prior quarter.
Netflix (NFLX) Operating Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Netflix's Operating Income came in at $14.35 billion, up 16.7% year-over-year; for FY2025, it was $13.33 billion, up 27.9% from FY2024.
- Operating Income has increased for three consecutive years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- By year, Operating Income came in at $10.42 billion in FY2024 (+49.8%), $6.95 billion in FY2023 (+23.5%), $5.63 billion in FY2022 (-9.1%) and $6.19 billion in FY2021 (+35.1%).
- The Q2 2026 figure ranks as the highest quarterly Operating Income in data going back to Q1 2009.
- Year over year, Operating Income has now increased in each of the last 13 quarters, with growth averaging 30.9% over the last eight quarters.
- The high point for year-over-year Operating Income in five years was Q4 2023 (growth of 172.1%); the low point was Q4 2021 (a decline of 33.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.96 billion (Q1 2026), $2.96 billion (Q4 2025) and $3.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 40.77 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 18.78 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 2.23 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 488.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.89 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.50 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 4.09 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.49 Bn |
| 10 | Spotify Technology | 102.35 Bn | 59.59 Bn | 1.86 Bn | 761.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.19 Bn |
| Mar 31, 2026 | 3.96 Bn |
| Dec 31, 2025 | 2.96 Bn |
| Sep 30, 2025 | 3.25 Bn |
| Jun 30, 2025 | 3.77 Bn |
| Mar 31, 2025 | 3.35 Bn |
| Dec 31, 2024 | 2.27 Bn |
| Sep 30, 2024 | 2.91 Bn |
| Jun 30, 2024 | 2.60 Bn |
| Mar 31, 2024 | 2.63 Bn |
| Dec 31, 2023 | 1.50 Bn |
| Sep 30, 2023 | 1.92 Bn |
| Jun 30, 2023 | 1.83 Bn |
| Mar 31, 2023 | 1.71 Bn |
| Dec 31, 2022 | 549.90 Mn |
| Sep 30, 2022 | 1.53 Bn |
| Jun 30, 2022 | 1.58 Bn |
| Mar 31, 2022 | 1.97 Bn |
| Dec 31, 2021 | 631.77 Mn |
| Sep 30, 2021 | 1.76 Bn |
Netflix Operating Income 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=operating-income&ticker=NFLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();