Match (MTCH) Exchange Rate Effect (2009 - 2026)
Match (MTCH) posted Exchange Rate Effect of $1.33 million for Q3 2026, compared with -$4.13 million a year earlier.
Match (MTCH) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Exchange Rate Effect at Match was -$6.21 million; for FY2025, it came in at $13.19 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- In prior years, Match's Exchange Rate Effect was -$12.32 million in FY2024, $3.78 million in FY2023, -$7.81 million in FY2022 and -$7.57 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Exchange Rate Effect since Q2 2025.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$3.67 million (Q2 2026), -$2.34 million (Q1 2026) and -$1.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 45.00 Mn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 8.00 Mn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 19.00 Mn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | -224.00 Mn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | -34.00 Mn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | -428,000.00 |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 14.96 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | -5.00 Mn |
| 10 | Match | 8.95 Bn | 5.58 Bn | 684.71 Mn | 1.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.33 Mn |
| Jun 30, 2026 | -3.67 Mn |
| Mar 31, 2026 | -2.34 Mn |
| Dec 31, 2025 | -1.52 Mn |
| Sep 30, 2025 | -4.13 Mn |
| Jun 30, 2025 | 11.74 Mn |
| Mar 31, 2025 | 7.10 Mn |
| Dec 31, 2024 | -14.61 Mn |
| Sep 30, 2024 | 6.64 Mn |
| Jun 30, 2024 | 1.59 Mn |
| Mar 31, 2024 | -5.95 Mn |
| Dec 31, 2023 | 5.89 Mn |
| Sep 30, 2023 | -3.53 Mn |
| Jun 30, 2023 | -399,000.00 |
| Mar 31, 2023 | 1.82 Mn |
| Dec 31, 2022 | 9.69 Mn |
| Sep 30, 2022 | -6.72 Mn |
| Jun 30, 2022 | -6.59 Mn |
| Mar 31, 2022 | -4.20 Mn |
| Dec 31, 2021 | -1.14 Mn |
Match 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=MTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MTCH", "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=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();