Toast (TOST) EV to EBITDA (2024 - 2026)
Toast's (TOST) EV to EBITDA came in at 24.77 for Q2 2026, down 65.1% from 70.89 a year earlier and down 6.8% from the prior quarter.
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Analysis
Toast (TOST) EV to EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Toast was 15.06, down 74.3% year-over-year; for FY2025, it was 41.59, down 69.2% from FY2024.
- In prior years, Toast's EV to EBITDA was 134.95 in FY2024.
- The Q2 2026 figure stands as the lowest quarterly EV to EBITDA in data going back to Q3 2024.
- On a year-over-year basis, EV to EBITDA has declined in each of the last four quarters, with an average decline of 69.9% over the last four quarters.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 26.57 (Q1 2026), 41.59 (Q4 2025) and 49.68 (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 | 24.77 |
| Mar 31, 2026 | 26.57 |
| Dec 31, 2025 | 41.59 |
| Sep 30, 2025 | 49.68 |
| Jun 30, 2025 | 70.89 |
| Mar 31, 2025 | 69.49 |
| Dec 31, 2024 | 135.89 |
| Sep 30, 2024 | 300.47 |
API Access
Toast EV to EBITDA 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-ebitda&ticker=TOST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();