Netflix (NFLX) Tax Provisions (2009 - 2026)
Netflix (NFLX) posted Tax Provisions of $667.17 million for Q2 2026, up 31.8% from $506.26 million a year earlier but down 47.2% from the prior quarter.
Netflix (NFLX) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Netflix was $2.84 billion, up 98.2% year-over-year; for FY2025, it came in at $1.74 billion, up 38.9% from FY2024.
- Annual Tax Provisions has increased for six consecutive years, with a five-year compound annual growth rate of 31.8% (FY2020 to FY2025).
- In prior years, Netflix's Tax Provisions was $1.25 billion in FY2024 (+57.3%), $797.42 million in FY2023 (+3.3%), $772.01 million in FY2022 (+6.6%) and $723.88 million in FY2021 (+65.3%).
- Quarterly Tax Provisions has run from a low of -$56.58 million in Q4 2021 to a high of $1.26 billion in Q1 2026 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last ten quarters, with growth averaging 68.2% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2026, with growth of 291.0%; the weakest was Q1 2023, with a decline of 57.2%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $1.26 billion (Q1 2026), $349.22 million (Q4 2025) and $562.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 26.56 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 2.91 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 667.17 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -1.89 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 273.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 840.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 610.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -898.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 238.99 Mn |
| 10 | Spotify Technology | 102.35 Bn | 59.59 Bn | 1.86 Bn | 203.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 667.17 Mn |
| Mar 31, 2026 | 1.26 Bn |
| Dec 31, 2025 | 349.22 Mn |
| Sep 30, 2025 | 562.49 Mn |
| Jun 30, 2025 | 506.26 Mn |
| Mar 31, 2025 | 323.38 Mn |
| Dec 31, 2024 | 265.66 Mn |
| Sep 30, 2024 | 339.45 Mn |
| Jun 30, 2024 | 366.55 Mn |
| Mar 31, 2024 | 282.37 Mn |
| Dec 31, 2023 | 210.31 Mn |
| Sep 30, 2023 | 231.63 Mn |
| Jun 30, 2023 | 191.72 Mn |
| Mar 31, 2023 | 163.75 Mn |
| Dec 31, 2022 | -15.95 Mn |
| Sep 30, 2022 | 223.61 Mn |
| Jun 30, 2022 | 182.10 Mn |
| Mar 31, 2022 | 382.25 Mn |
| Dec 31, 2021 | -56.58 Mn |
| Sep 30, 2021 | 211.89 Mn |
Netflix Tax Provisions 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=tax-provisions&ticker=NFLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();