Netflix (NFLX) Exchange Rate Effect (2012 - 2026)
Netflix's Exchange Rate Effect was $19 million in Q3 2026, compared with -$21.72 million a year earlier.
Netflix (NFLX) Exchange Rate Effect (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Netflix's Exchange Rate Effect was -$79.85 million through Sep 30, 2026; for FY2025, it was $386.52 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 60.7% (FY2020 to FY2025).
- In earlier years, Exchange Rate Effect was -$416.33 million in FY2024, $82.68 million in FY2023, -$170.14 million in FY2022 and -$86.74 million in FY2021.
- The Q3 2026 figure marks the highest quarterly Exchange Rate Effect since Q2 2025.
- Per Business Quant data, NFLX's Exchange Rate Effect in the three quarters before Q3 2026 was -$19.63 million (Q2 2026), -$49.84 million (Q1 2026) and -$29.38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,521.12 Bn | 3,256.02 Bn | 76.16 Bn | 45.00 Mn |
| 2 | Meta Platforms | 1,646.12 Bn | 1,310.64 Bn | 51.23 Bn | 8.00 Mn |
| 3 | Netflix | 263.20 Bn | 224.50 Bn | 6.80 Bn | 19.00 Mn |
| 4 | Alibaba Group Holding | 244.84 Bn | 58.48 Bn | 15.16 Bn | -224.00 Mn |
| 5 | Shopify | 195.60 Bn | 174.41 Bn | 1.78 Bn | 1.00 Mn |
| 6 | Uber Technologies | 144.99 Bn | 115.81 Bn | 6.42 Bn | -34.00 Mn |
| 7 | AppLovin | 137.18 Bn | 125.71 Bn | 1.94 Bn | -428,000.00 |
| 8 | Spotify Technology | 123.67 Bn | 80.59 Bn | 1.89 Bn | 14.96 Mn |
| 9 | Booking Holdings | 122.41 Bn | 56.15 Bn | - | -5.00 Mn |
| 10 | Airbnb | 113.98 Bn | 66.31 Bn | 4.22 Bn | -7.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.00 Mn |
| Jun 30, 2026 | -19.63 Mn |
| Mar 31, 2026 | -49.84 Mn |
| Dec 31, 2025 | -29.38 Mn |
| Sep 30, 2025 | -21.72 Mn |
| Jun 30, 2025 | 287.47 Mn |
| Mar 31, 2025 | 150.15 Mn |
| Dec 31, 2024 | -351.27 Mn |
| Sep 30, 2024 | 153.45 Mn |
| Jun 30, 2024 | -122.72 Mn |
| Mar 31, 2024 | -95.79 Mn |
| Dec 31, 2023 | 139.34 Mn |
| Sep 30, 2023 | -122.71 Mn |
| Jun 30, 2023 | 39.63 Mn |
| Mar 31, 2023 | 26.42 Mn |
| Dec 31, 2022 | 166.56 Mn |
| Sep 30, 2022 | -180.06 Mn |
| Jun 30, 2022 | -145.20 Mn |
| Mar 31, 2022 | -11.45 Mn |
| Dec 31, 2021 | -4.24 Mn |
Netflix Exchange Rate Effect 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=exchange-rate-effect&ticker=NFLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=NFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();