Toast (TOST) Total Liabilities (2020 - 2026)
Toast (TOST) reported Total Liabilities of $1.14 billion for Q2 2026, up 19.7% from $949 million a year earlier and up 2.9% from the prior quarter.
Powered by 
Analysis
Toast (TOST) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Toast posted Total Liabilities of $1.02 billion, up 18.3% from FY2024.
- Total Liabilities has increased for four consecutive years, though with a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $863 million in FY2024 (+13.0%), $764 million in FY2023 (+15.2%), $663 million in FY2022 (+3.0%) and $644 million in FY2021 (-48.4%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q4 2020.
- Year over year, Total Liabilities has now increased in each of the last 15 quarters, with growth averaging 15.6% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2026 (growth of 23.9%); the low point was Q4 2021 (a decline of 48.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.1 billion (Q1 2026), $1.02 billion (Q4 2025) and $957 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 2.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 30, 2025 | 957.00 Mn |
| Jun 30, 2025 | 949.00 Mn |
| Mar 31, 2025 | 891.00 Mn |
| Dec 31, 2024 | 863.00 Mn |
| Sep 30, 2024 | 807.00 Mn |
| Jun 30, 2024 | 872.00 Mn |
| Mar 31, 2024 | 849.00 Mn |
| Dec 31, 2023 | 764.00 Mn |
| Sep 30, 2023 | 685.00 Mn |
| Jun 30, 2023 | 716.00 Mn |
| Mar 31, 2023 | 697.00 Mn |
| Dec 31, 2022 | 663.00 Mn |
| Sep 30, 2022 | 622.00 Mn |
| Jun 30, 2022 | 600.00 Mn |
| Mar 31, 2022 | 591.00 Mn |
| Dec 31, 2021 | 644.00 Mn |
| Sep 30, 2021 | 647.25 Mn |
API Access
Toast Total Liabilities 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=total-liabilities&ticker=TOST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();