Kidz Ai (KIDZ) Total Non-Current Liabilities (2024 - 2026)
Kidz Ai (KIDZ) posted Total Non-Current Liabilities of $1.76 million for Q2 2026, down 88.1% from $14.81 million a year earlier and down 72.6% from the prior quarter.
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Analysis
Kidz Ai (KIDZ) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Kidz Ai's Total Non-Current Liabilities came in at $9.45 million, up 216.1% from FY2024.
- In prior years, Kidz Ai's Total Non-Current Liabilities was $2.99 million in FY2024.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $6.41 million (Q1 2026), $9.45 million (Q4 2025) and $14.73 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 | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Kidz Ai | 268,258.49 | -16.91 Mn | 211,722.00 | 1.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.76 Mn |
| Mar 31, 2026 | 6.41 Mn |
| Dec 31, 2025 | 9.45 Mn |
| Sep 30, 2025 | 14.73 Mn |
| Jun 30, 2025 | 14.81 Mn |
| Mar 31, 2025 | 2.99 Mn |
| Dec 31, 2024 | 2.99 Mn |
API Access
Kidz Ai 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=KIDZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "KIDZ", "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=KIDZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();