Take Two Interactive Software (TTWO) Exchange Rate Effect (2009 - 2026)
Take Two Interactive Software's Exchange Rate Effect came in at -$1.3 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with $20.2 million a year earlier.
Take Two Interactive Software (TTWO) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Take Two Interactive Software reported Exchange Rate Effect of -$12.3 million; for FY2026 (ended Mar 31, 2026), it came in at $9.2 million, up 170.6% from FY2025.
- Exchange Rate Effect carries a five-year compound annual growth rate of -13.1% (FY2021 to FY2026).
- Going back by fiscal year, Exchange Rate Effect was $3.4 million in FY2025 (+9.7%), $3.1 million in FY2024, -$15.9 million in FY2023 and -$5.2 million in FY2022.
- The five-year range for quarterly Exchange Rate Effect is -$21.5 million (fiscal Q2 2023) to $20.2 million (fiscal Q1 2026).
- Business Quant data shows TTWO's Exchange Rate Effect at -$8.7 million (Q4 2026), $3.8 million (Q3 2026) and -$6.1 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn | -31.00 Mn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 Bn | 49.47 Bn | -7.00 Mn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | -19.63 Mn |
| 4 | Alibaba Group Holding | 258.66 Bn | 82.26 Bn | 15.11 Bn | -224.00 Mn |
| 5 | Shopify | 221.29 Bn | 198.47 Bn | 1.71 Bn | -4.00 Mn |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn | 54.00 Mn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - | -111.00 Mn |
| 8 | PDD Holdings | 115.79 Bn | -126.92 Bn | 9.45 Bn | 182.40 Mn |
| 9 | Spotify Technology | 108.98 Bn | 66.21 Bn | 1.86 Bn | 26.73 Mn |
| 10 | Take Two Interactive Software | 39.91 Bn | 31.62 Bn | 882.50 Mn | -1.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.30 Mn |
| Mar 31, 2026 | -8.70 Mn |
| Dec 31, 2025 | 3.80 Mn |
| Sep 30, 2025 | -6.10 Mn |
| Jun 30, 2025 | 20.20 Mn |
| Mar 31, 2025 | 11.80 Mn |
| Dec 31, 2024 | -16.40 Mn |
| Sep 30, 2024 | 8.90 Mn |
| Jun 30, 2024 | -900,000.00 |
| Mar 31, 2024 | -4.80 Mn |
| Dec 31, 2023 | 15.30 Mn |
| Sep 30, 2023 | -11.20 Mn |
| Jun 30, 2023 | 3.80 Mn |
| Mar 31, 2023 | 2.70 Mn |
| Dec 31, 2022 | 17.60 Mn |
| Sep 30, 2022 | -21.50 Mn |
| Jun 30, 2022 | -14.70 Mn |
| Mar 31, 2022 | -2.50 Mn |
| Dec 31, 2021 | -2.00 Mn |
| Sep 30, 2021 | -2.50 Mn |
Take Two Interactive Software 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=TTWO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TTWO", "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=TTWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();