Toast (TOST) Total Non-Current Liabilities (2020 - 2026)
Toast's Total Non-Current Liabilities was $1.1 billion in Q2 2026, up 19.7% from $922 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Toast (TOST) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Toast came in at $969 million, up 15.2% from FY2024.
- Total Non-Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 29.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $841 million in FY2024 (+20.1%), $700 million in FY2023 (+17.6%), $595 million in FY2022 (+28.5%) and $463 million in FY2021 (+77.0%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 16 straight quarters, with growth averaging 20.5% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 9.3% (Q3 2023) and 77.0% (Q4 2021) over the last five years.
- Per Business Quant data, TOST's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1.09 billion (Q1 2026), $969 million (Q4 2025) and $937 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Bentley Systems | 9.39 Bn | 8.85 Bn | 336.74 Mn | 2.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 969.00 Mn |
| Sep 30, 2025 | 937.00 Mn |
| Jun 30, 2025 | 922.00 Mn |
| Mar 31, 2025 | 872.00 Mn |
| Dec 31, 2024 | 841.00 Mn |
| Sep 30, 2024 | 780.00 Mn |
| Jun 30, 2024 | 771.00 Mn |
| Mar 31, 2024 | 749.00 Mn |
| Dec 31, 2023 | 700.00 Mn |
| Sep 30, 2023 | 613.00 Mn |
| Jun 30, 2023 | 626.00 Mn |
| Mar 31, 2023 | 632.00 Mn |
| Dec 31, 2022 | 595.00 Mn |
| Sep 30, 2022 | 561.00 Mn |
| Jun 30, 2022 | 560.00 Mn |
| Mar 31, 2022 | 507.00 Mn |
| Dec 31, 2021 | 463.00 Mn |
| Sep 30, 2021 | 361.00 Mn |
API Access
Toast Total Non-Current 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-non-current-liabilities&ticker=TOST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();