Toast (TOST) Price to FCF (2023 - 2026)
Toast's (TOST) Price to FCF was 27.87 for Q2 2026, down 45.0% from 50.65 a year earlier but up 18.5% from the prior quarter.
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Analysis
Toast (TOST) Price to FCF (2023 - 2026) Analysis & Trends
For FY2025, Price to FCF at Toast was 34.40, down 49.5% from FY2024.
- By year, Price to FCF came in at 68.14 in FY2024 (-36.1%) and 106.61 in FY2023.
- Five-year quarterly Price to FCF spans a low of 23.51 in Q1 2026 and a high of 110.05 in Q1 2024.
- Year over year, Price to FCF has now declined in each of the last seven quarters, with an average decline of 44.2% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 23.51 (Q1 2026), 34.40 (Q4 2025) and 38.00 (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.87 |
| Mar 31, 2026 | 23.51 |
| Dec 31, 2025 | 34.40 |
| Sep 30, 2025 | 38.00 |
| Jun 30, 2025 | 50.65 |
| Mar 31, 2025 | 46.91 |
| Dec 31, 2024 | 68.14 |
| Sep 30, 2024 | 63.22 |
| Jun 30, 2024 | 74.39 |
| Mar 31, 2024 | 110.05 |
| Dec 31, 2023 | 106.61 |
API Access
Toast Price 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=price-to-fcf&ticker=TOST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();