Netflix (NFLX) Cash & Equivalents (2009 - 2026)
Netflix (NFLX) recorded Cash & Equivalents of $9.1 billion in Q2 2026, up 11.3% from $8.18 billion a year earlier but down 25.8% from the prior quarter.
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Analysis
Netflix (NFLX) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Netflix reported Cash & Equivalents of $9.03 billion, up 15.7% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $7.8 billion in FY2024 (+9.7%), $7.12 billion in FY2023 (+38.3%), $5.15 billion in FY2022 (-14.6%) and $6.03 billion in FY2021 (-26.5%).
- Quarterly Cash & Equivalents has ranged from $5.15 billion in Q4 2022 to $12.26 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for eight consecutive quarters, with growth averaging 19.9% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 70.3% in Q1 2026, against a decline of 28.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.26 billion (Q1 2026), $9.03 billion (Q4 2025) and $9.29 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 9.10 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | 21.06 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | 1.66 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 4.87 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 17.21 Bn |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | 19.00 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | 6.90 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | 6.82 Bn |
| 10 | AppLovin | 94.32 Bn | 84.35 Bn | 1.70 Bn | 3.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.10 Bn |
| Mar 31, 2026 | 12.26 Bn |
| Dec 31, 2025 | 9.03 Bn |
| Sep 30, 2025 | 9.29 Bn |
| Jun 30, 2025 | 8.18 Bn |
| Mar 31, 2025 | 7.20 Bn |
| Dec 31, 2024 | 7.80 Bn |
| Sep 30, 2024 | 7.46 Bn |
| Jun 30, 2024 | 6.62 Bn |
| Mar 31, 2024 | 7.02 Bn |
| Dec 31, 2023 | 7.12 Bn |
| Sep 30, 2023 | 7.35 Bn |
| Jun 30, 2023 | 7.66 Bn |
| Mar 31, 2023 | 6.71 Bn |
| Dec 31, 2022 | 5.15 Bn |
| Sep 30, 2022 | 6.11 Bn |
| Jun 30, 2022 | 5.82 Bn |
| Mar 31, 2022 | 6.01 Bn |
| Dec 31, 2021 | 6.03 Bn |
| Sep 30, 2021 | 7.53 Bn |
API Access
Netflix Cash & Equivalents 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-and-equivalents&ticker=NFLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();