Netflix (NFLX) Total Non-Current Liabilities (2009 - 2026)
Netflix's Total Non-Current Liabilities came in at $25.59 billion for Q2 2026, up 2.3% from $25 billion a year earlier but down 5.7% from the prior quarter.
Netflix (NFLX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Netflix's Total Non-Current Liabilities was $26.02 billion, down 1.2% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $26.33 billion in FY2024 (+2.9%), $25.58 billion in FY2023 (+0.9%), $25.37 billion in FY2022 (-3.5%) and $26.28 billion in FY2021 (+0.2%).
- The five-year range for quarterly Total Non-Current Liabilities is $24.35 billion (Q2 2024) to $27.12 billion (Q1 2026).
- Year-over-year, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 2.4%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2024 (growth of 7.5%), and the weakest in Q2 2024 (a decline of 4.9%).
- Business Quant data shows NFLX's Total Non-Current Liabilities at $27.12 billion (Q1 2026), $26.02 billion (Q4 2025) and $25.79 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 4.77 Bn |
| 10 | Spotify Technology | 101.54 Bn | 58.77 Bn | 1.86 Bn | 6.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.59 Bn |
| Mar 31, 2026 | 27.12 Bn |
| Dec 31, 2025 | 26.02 Bn |
| Sep 30, 2025 | 25.79 Bn |
| Jun 30, 2025 | 25.00 Bn |
| Mar 31, 2025 | 25.43 Bn |
| Dec 31, 2024 | 26.33 Bn |
| Sep 30, 2024 | 26.79 Bn |
| Jun 30, 2024 | 24.35 Bn |
| Mar 31, 2024 | 24.88 Bn |
| Dec 31, 2023 | 25.58 Bn |
| Sep 30, 2023 | 24.91 Bn |
| Jun 30, 2023 | 25.60 Bn |
| Mar 31, 2023 | 25.26 Bn |
| Dec 31, 2022 | 25.37 Bn |
| Sep 30, 2022 | 24.61 Bn |
| Jun 30, 2022 | 24.72 Bn |
| Mar 31, 2022 | 25.22 Bn |
| Dec 31, 2021 | 26.28 Bn |
| Sep 30, 2021 | 25.14 Bn |
Netflix Total Non-Current 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-non-current-liabilities&ticker=NFLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();