Netflix (NFLX) Total Liabilities (2009 - 2026)
Netflix (NFLX) posted Total Liabilities of $28.3 billion for Q2 2026, up 0.5% from $28.15 billion a year earlier but down 5.3% from the prior quarter.
Netflix (NFLX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Netflix's Total Liabilities came in at $28.98 billion, up 0.3% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In prior years, Netflix's Total Liabilities was $28.89 billion in FY2024 (+2.6%), $28.14 billion in FY2023 (+1.2%), $27.82 billion in FY2022 (-3.2%) and $28.74 billion in FY2021 (+1.8%).
- Quarterly Total Liabilities has run from a low of $26.99 billion in Q2 2024 to a high of $29.89 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 2.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2024, with growth of 7.9%; the weakest was Q2 2024, with a decline of 3.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $29.89 billion (Q1 2026), $28.98 billion (Q4 2025) and $28.98 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Spotify Technology | 102.35 Bn | 59.59 Bn | 1.86 Bn | 6.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.30 Bn |
| Mar 31, 2026 | 29.89 Bn |
| Dec 31, 2025 | 28.98 Bn |
| Sep 30, 2025 | 28.98 Bn |
| Jun 30, 2025 | 28.15 Bn |
| Mar 31, 2025 | 28.06 Bn |
| Dec 31, 2024 | 28.89 Bn |
| Sep 30, 2024 | 29.56 Bn |
| Jun 30, 2024 | 26.99 Bn |
| Mar 31, 2024 | 27.46 Bn |
| Dec 31, 2023 | 28.14 Bn |
| Sep 30, 2023 | 27.39 Bn |
| Jun 30, 2023 | 27.99 Bn |
| Mar 31, 2023 | 27.66 Bn |
| Dec 31, 2022 | 27.82 Bn |
| Sep 30, 2022 | 27.03 Bn |
| Jun 30, 2022 | 27.27 Bn |
| Mar 31, 2022 | 27.79 Bn |
| Dec 31, 2021 | 28.74 Bn |
| Sep 30, 2021 | 27.43 Bn |
Netflix Total Liabilities 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=total-liabilities&ticker=NFLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();