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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 49.70 Bn | 21.94 Bn | 695.95 Mn |
| 3 | Samsara | 24.71 Bn | 21.48 Bn | 392.58 Mn |
| 4 | Ptc | 22.46 Bn | 21.27 Bn | 490.47 Mn |
| 5 | Toast | 20.17 Bn | 12.81 Bn | 543.00 Mn |
| 6 | Manhattan Associates | 14.80 Bn | 13.86 Bn | 174.30 Mn |
| 7 | Bentley Systems | 14.11 Bn | 13.58 Bn | 349.55 Mn |
| 8 | Trimble | 12.72 Bn | 11.80 Bn | 659.10 Mn |
| 9 | Costar | 12.56 Bn | 7.94 Bn | 741.00 Mn |
| 10 | Procore Technologies | 11.50 Bn | 8.87 Bn | 323.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.55 |
| 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 |
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_KEY
import 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();