Netflix (NFLX) Interest Expenses (2009 - 2026)
Netflix's Interest Expenses was $175.69 million in Q2 2026, down 3.8% from $182.65 million a year earlier and down 33.0% from the prior quarter.
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Analysis
Netflix (NFLX) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Netflix's Interest Expenses was $847.45 million through Jun 30, 2026, up 13.9% year-over-year; for FY2025, it came in at $776.51 million, up 8.0% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $718.73 million in FY2024 (+2.7%), $699.83 million in FY2023 (-0.9%), $706.21 million in FY2022 (-7.8%) and $765.62 million in FY2021 (-0.2%).
- Quarterly Interest Expenses has moved between $167.99 million (Q2 2024) and $262.08 million (Q1 2026) over five years.
- Compared with a year earlier, Interest Expenses was higher in six of the last eight quarters, with growth averaging 10.7%.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2026 (growth of 42.3%); the worst was Q4 2022 (a decline of 9.9%).
- Per Business Quant data, NFLX's Interest Expenses in the three quarters before Q2 2026 was $262.08 million (Q1 2026), $234.4 million (Q4 2025) and $175.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 175.69 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 51.16 Mn |
| 10 | Spotify Technology | 102.35 Bn | 59.59 Bn | 1.86 Bn | -24.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.69 Mn |
| Mar 31, 2026 | 262.08 Mn |
| Dec 31, 2025 | 234.40 Mn |
| Sep 30, 2025 | 175.29 Mn |
| Jun 30, 2025 | 182.65 Mn |
| Mar 31, 2025 | 184.17 Mn |
| Dec 31, 2024 | 192.60 Mn |
| Sep 30, 2024 | 184.83 Mn |
| Jun 30, 2024 | 167.99 Mn |
| Mar 31, 2024 | 173.31 Mn |
| Dec 31, 2023 | 175.21 Mn |
| Sep 30, 2023 | 175.56 Mn |
| Jun 30, 2023 | 174.81 Mn |
| Mar 31, 2023 | 174.24 Mn |
| Dec 31, 2022 | 170.60 Mn |
| Sep 30, 2022 | 172.58 Mn |
| Jun 30, 2022 | 175.46 Mn |
| Mar 31, 2022 | 187.58 Mn |
| Dec 31, 2021 | 189.43 Mn |
| Sep 30, 2021 | 190.43 Mn |
API Access
Netflix Interest 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=interest-expenses&ticker=NFLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();