Toast (TOST) Exchange Rate Effect (2020 - 2026)
Toast (TOST) posted Exchange Rate Effect of -$1 million for Q4 2025, compared with -$2 million a year earlier.
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Analysis
Toast (TOST) Exchange Rate Effect (2020 - 2026) Analysis & Trends
For FY2025, Toast's Exchange Rate Effect came in at $2 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In prior years, Toast's Exchange Rate Effect was -$1 million in FY2024 and -$1 million in FY2021.
- The Q4 2025 figure stands as the highest quarterly Exchange Rate Effect since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.70 Bn | 21.94 Bn | 695.95 Mn | -299,000.00 |
| 3 | Samsara | 24.71 Bn | 21.48 Bn | 392.58 Mn | -1.92 Mn |
| 4 | Ptc | 22.46 Bn | 21.27 Bn | 490.47 Mn | -3.57 Mn |
| 5 | Toast | 20.17 Bn | 12.81 Bn | 543.00 Mn | -1.00 Mn |
| 6 | Manhattan Associates | 14.80 Bn | 13.86 Bn | 174.30 Mn | -3.81 Mn |
| 7 | Bentley Systems | 14.11 Bn | 13.58 Bn | 349.55 Mn | -640,000.00 |
| 8 | Trimble | 12.72 Bn | 11.80 Bn | 659.10 Mn | -500,000.00 |
| 9 | Costar | 12.56 Bn | 7.94 Bn | 741.00 Mn | 1.00 Mn |
| 10 | Procore Technologies | 11.50 Bn | 8.87 Bn | 323.62 Mn | 598,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.00 Mn |
| Dec 31, 2025 | -1.00 Mn |
| Dec 31, 2024 | -2.00 Mn |
| Sep 30, 2024 | 2.00 Mn |
| Jun 30, 2024 | -1.00 Mn |
| Dec 31, 2023 | 1.00 Mn |
| Sep 30, 2023 | -1.00 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | -1.00 Mn |
| Mar 31, 2021 | -1.00 Mn |
| Dec 31, 2020 | 2.00 Mn |
API Access
Toast 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=TOST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TOST", "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=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();