Netflix (NFLX) Cost of Revenue (2009 - 2026)
Netflix (NFLX) recorded Cost of Revenue of $6.04 billion in Q2 2026, up 13.4% from $5.33 billion a year earlier and up 2.5% from the prior quarter.
Netflix (NFLX) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Netflix's Cost of Revenue came in at $24.61 billion as of Jun 30, 2026, up 14.6% year-over-year; for FY2025, it was $23.28 billion, up 10.6% from FY2024.
- Annual Cost of Revenue has increased for 16 straight years, with a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $21.04 billion in FY2024 (+6.7%), $19.72 billion in FY2023 (+2.9%), $19.17 billion in FY2022 (+10.6%) and $17.33 billion in FY2021 (+13.5%).
- Quarterly Cost of Revenue has ranged from $4.21 billion in Q3 2021 to $6.52 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for ten consecutive quarters, with growth averaging 10.0% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 25.8% in Q4 2021, against a decline of 1.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.89 billion (Q1 2026), $6.52 billion (Q4 2025) and $6.16 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 7.08 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 225.80 Mn |
| 10 | Spotify Technology | 102.35 Bn | 59.59 Bn | 1.86 Bn | 3.70 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.04 Bn |
| Mar 31, 2026 | 5.89 Bn |
| Dec 31, 2025 | 6.52 Bn |
| Sep 30, 2025 | 6.16 Bn |
| Jun 30, 2025 | 5.33 Bn |
| Mar 31, 2025 | 5.26 Bn |
| Dec 31, 2024 | 5.77 Bn |
| Sep 30, 2024 | 5.12 Bn |
| Jun 30, 2024 | 5.17 Bn |
| Mar 31, 2024 | 4.98 Bn |
| Dec 31, 2023 | 5.31 Bn |
| Sep 30, 2023 | 4.93 Bn |
| Jun 30, 2023 | 4.67 Bn |
| Mar 31, 2023 | 4.80 Bn |
| Dec 31, 2022 | 5.40 Bn |
| Sep 30, 2022 | 4.79 Bn |
| Jun 30, 2022 | 4.69 Bn |
| Mar 31, 2022 | 4.28 Bn |
| Dec 31, 2021 | 5.24 Bn |
| Sep 30, 2021 | 4.21 Bn |
Netflix Cost of Revenue 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=cost-of-revenue&ticker=NFLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();