Toast (TOST) EV to FCF (2023 - 2026)
Toast's EV to FCF came in at 24.89 for Q2 2026, down 47.4% from 47.30 a year earlier but up 19.7% from the prior quarter.
Toast (TOST) EV to FCF (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Toast reported EV to FCF of 15.14, down 61.3% year-over-year; for FY2025, it came in at 31.13, down 51.0% from FY2024.
- Going back by year, EV to FCF was 63.50 in FY2024 (-32.8%) and 94.53 in FY2023.
- The five-year range for quarterly EV to FCF is 20.80 (Q1 2026) to 101.13 (Q1 2024).
- Year-over-year, EV to FCF has declined for seven consecutive quarters, with an average decline of 44.5% over the last seven quarters.
- Business Quant data shows TOST's EV to FCF at 20.80 (Q1 2026), 31.13 (Q4 2025) and 34.71 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.64 Bn | 9.10 Bn | 336.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.89 |
| Mar 31, 2026 | 20.80 |
| Dec 31, 2025 | 31.13 |
| Sep 30, 2025 | 34.71 |
| Jun 30, 2025 | 47.30 |
| Mar 31, 2025 | 43.26 |
| Dec 31, 2024 | 63.50 |
| Sep 30, 2024 | 58.19 |
| Jun 30, 2024 | 68.10 |
| Mar 31, 2024 | 101.13 |
| Dec 31, 2023 | 94.53 |
Toast EV to FCF 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=ev-to-fcf&ticker=TOST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();