Toast (TOST) Tax Provisions (2020 - 2026)
Toast (TOST) reported Tax Provisions of $8 million for Q2 2026, up 166.7% from $3 million a year earlier and up 60.0% from the prior quarter.
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Analysis
Toast (TOST) Tax Provisions (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Toast's Tax Provisions came in at $12 million, up 100.0% year-over-year; for FY2025, it was $4 million, up 33.3% from FY2024.
- By year, Tax Provisions came in at $3 million in FY2024 (+50.0%), $2 million in FY2023, -$2 million in FY2022 and -$3 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Tax Provisions in data going back to Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 76.10 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.30 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 8.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 33.66 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 26.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 12.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 16.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 19.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 16.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.00 Mn |
| Mar 31, 2026 | 5.00 Mn |
| Sep 30, 2025 | -1.00 Mn |
| Jun 30, 2025 | 3.00 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 1.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | -4.00 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Jun 30, 2021 | -4.00 Mn |
| Dec 31, 2020 | -69,000.00 |
| Sep 30, 2020 | 127,000.00 |
API Access
Toast Tax Provisions 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=tax-provisions&ticker=TOST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();