Netflix (NFLX) Cash from Operations (2009 - 2026)
Netflix (NFLX) recorded Cash from Operations of $1.74 billion in Q2 2026, down 28.0% from $2.42 billion a year earlier and down 67.0% from the prior quarter.
Netflix (NFLX) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Netflix's Cash from Operations came in at $11.97 billion as of Jun 30, 2026, up 32.0% year-over-year; for FY2025, it came in at $10.15 billion, up 37.9% from FY2024.
- Annual Cash from Operations has increased for four straight years, with a five-year compound annual growth rate of 33.1% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $7.36 billion in FY2024 (+1.2%), $7.27 billion in FY2023 (+259.0%), $2.03 billion in FY2022 (+416.1%) and $392.61 million in FY2021 (-83.8%).
- The Q2 2026 figure is the lowest quarterly Cash from Operations since Q4 2024.
- On a year-over-year basis, Cash from Operations rose in six of the last eight quarters, with growth averaging 30.4%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 575.9% in Q3 2022, against a decline of 93.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.29 billion (Q1 2026), $2.11 billion (Q4 2025) and $2.83 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 39.07 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 31.86 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.74 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 3.38 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 658.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 2.86 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 3.72 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 3.77 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 869.04 Mn |
| 10 | Spotify Technology | 102.35 Bn | 59.59 Bn | 1.86 Bn | 948.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.74 Bn |
| Mar 31, 2026 | 5.29 Bn |
| Dec 31, 2025 | 2.11 Bn |
| Sep 30, 2025 | 2.83 Bn |
| Jun 30, 2025 | 2.42 Bn |
| Mar 31, 2025 | 2.79 Bn |
| Dec 31, 2024 | 1.54 Bn |
| Sep 30, 2024 | 2.32 Bn |
| Jun 30, 2024 | 1.29 Bn |
| Mar 31, 2024 | 2.21 Bn |
| Dec 31, 2023 | 1.66 Bn |
| Sep 30, 2023 | 1.99 Bn |
| Jun 30, 2023 | 1.44 Bn |
| Mar 31, 2023 | 2.18 Bn |
| Dec 31, 2022 | 443.86 Mn |
| Sep 30, 2022 | 556.81 Mn |
| Jun 30, 2022 | 102.75 Mn |
| Mar 31, 2022 | 922.84 Mn |
| Dec 31, 2021 | -403.27 Mn |
| Sep 30, 2021 | 82.38 Mn |
Netflix Cash from Operations 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=cash-from-operations&ticker=NFLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();