Netflix (NFLX) Accumulated Expenses (2009 - 2026)
Netflix (NFLX) reported Accumulated Expenses of $3.17 billion for Q2 2026, up 27.4% from $2.49 billion a year earlier but down 28.6% from the prior quarter.
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Analysis
Netflix (NFLX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Netflix posted Accumulated Expenses of $3.22 billion, up 49.4% from FY2024.
- Accumulated Expenses has increased for 13 consecutive years, with a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $2.16 billion in FY2024 (+19.5%), $1.8 billion in FY2023 (+19.1%), $1.51 billion in FY2022 (+4.5%) and $1.45 billion in FY2021 (+31.5%).
- Five-year quarterly Accumulated Expenses spans a low of $1.41 billion in Q3 2021 and a high of $4.44 billion in Q1 2026.
- Year over year, Accumulated Expenses has now increased in each of the last eight quarters, with growth averaging 37.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2026 (growth of 88.3%); the low point was Q1 2023 (a decline of 5.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.44 billion (Q1 2026), $3.22 billion (Q4 2025) and $3.11 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | Spotify Technology | 102.35 Bn | 59.59 Bn | 1.86 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.17 Bn |
| Mar 31, 2026 | 4.44 Bn |
| Dec 31, 2025 | 3.22 Bn |
| Sep 30, 2025 | 3.11 Bn |
| Jun 30, 2025 | 2.49 Bn |
| Mar 31, 2025 | 2.36 Bn |
| Dec 31, 2024 | 2.16 Bn |
| Sep 30, 2024 | 2.24 Bn |
| Jun 30, 2024 | 1.88 Bn |
| Mar 31, 2024 | 1.98 Bn |
| Dec 31, 2023 | 1.80 Bn |
| Sep 30, 2023 | 1.84 Bn |
| Jun 30, 2023 | 1.91 Bn |
| Mar 31, 2023 | 1.72 Bn |
| Dec 31, 2022 | 1.51 Bn |
| Sep 30, 2022 | 1.80 Bn |
| Jun 30, 2022 | 1.60 Bn |
| Mar 31, 2022 | 1.82 Bn |
| Dec 31, 2021 | 1.45 Bn |
| Sep 30, 2021 | 1.41 Bn |
API Access
Netflix Accumulated Expenses 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=accumulated-expenses&ticker=NFLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();