Toast (TOST) EV to CFO (2021 - 2026)
Toast's (TOST) EV to CFO was 22.58 for Q2 2026, down 47.6% from 43.07 a year earlier but up 18.5% from the prior quarter.
Toast (TOST) EV to CFO (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Toast's EV to CFO came in at 13.73, down 61.4% year-over-year; for FY2025, it came in at 28.63, down 47.0% from FY2024.
- By year, EV to CFO came in at 53.98 in FY2024 (-17.1%), 65.12 in FY2023 and 8168.94 in FY2021.
- Five-year quarterly EV to CFO spans a low of 19.06 in Q1 2026 and a high of 8168.94 in Q4 2021.
- Year over year, EV to CFO has now declined in each of the last eight quarters, with an average decline of 44.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in EV to CFO ranged from 17.1% (Q4 2024) to 87.2% (Q3 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at 19.06 (Q1 2026), 28.63 (Q4 2025) and 31.88 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.58 |
| Mar 31, 2026 | 19.06 |
| Dec 31, 2025 | 28.63 |
| Sep 30, 2025 | 31.88 |
| Jun 30, 2025 | 43.07 |
| Mar 31, 2025 | 38.45 |
| Dec 31, 2024 | 53.98 |
| Sep 30, 2024 | 48.27 |
| Jun 30, 2024 | 54.15 |
| Mar 31, 2024 | 74.36 |
| Dec 31, 2023 | 65.12 |
| Sep 30, 2023 | 377.38 |
| Dec 31, 2021 | 8,168.94 |
Toast EV to CFO 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-cfo&ticker=TOST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();