Toast (TOST) Shares Outstanding (Diluted) (2019 - 2026)
Toast (TOST) recorded Shares Outstanding (Diluted) of 590 million in Q2 2026, down 2.5% from 605 million a year earlier and down 2.0% from the prior quarter.
Toast (TOST) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Toast reported Shares Outstanding (Diluted) of 607 million, up 2.7% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for six straight years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 591 million in FY2024 (+10.9%), 533 million in FY2023 (+4.1%), 512.24 million in FY2022 (+76.9%) and 289.58 million in FY2021 (+44.8%).
- Quarterly Shares Outstanding (Diluted) has ranged from 239.36 million in Q3 2021 to 609 million in Q3 2025 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in six of the last eight quarters, with growth averaging 4.7%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 146.9% in Q1 2022, against a decline of 2.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 602 million (Q1 2026), 607 million (Q4 2025) and 609 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 165.06 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 590.46 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 590.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 114.98 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 233.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 50.03 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 59.00 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 404.40 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 318.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 590.00 Mn |
| Mar 31, 2026 | 602.00 Mn |
| Dec 31, 2025 | 607.00 Mn |
| Sep 30, 2025 | 609.00 Mn |
| Jun 30, 2025 | 605.00 Mn |
| Mar 31, 2025 | 603.00 Mn |
| Dec 31, 2024 | 591.00 Mn |
| Sep 30, 2024 | 590.00 Mn |
| Jun 30, 2024 | 587.00 Mn |
| Mar 31, 2024 | 547.00 Mn |
| Dec 31, 2023 | 533.00 Mn |
| Sep 30, 2023 | 536.53 Mn |
| Jun 30, 2023 | 529.23 Mn |
| Mar 31, 2023 | 524.88 Mn |
| Dec 31, 2022 | 512.24 Mn |
| Sep 30, 2022 | 513.72 Mn |
| Jun 30, 2022 | 509.53 Mn |
| Mar 31, 2022 | 507.04 Mn |
| Dec 31, 2021 | 289.58 Mn |
| Sep 30, 2021 | 239.36 Mn |
Toast Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=TOST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();