A2Z Cust2Mate Solutions (AZ) Total Non-Current Liabilities (2020 - 2026)
A2Z Cust2Mate Solutions (AZ) reported Total Non-Current Liabilities of $2.85 million for Q2 2026, up 75.9% from $1.62 million a year earlier and up 81.9% from the prior quarter.
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Analysis
A2Z Cust2Mate Solutions (AZ) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, A2Z Cust2Mate Solutions posted Total Non-Current Liabilities of $1.79 million, up 260.3% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -28.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $496,000 in FY2024 (-90.5%), $5.2 million in FY2023 (+45.6%), $3.57 million in FY2022 (+318.8%) and $852,000 in FY2021 (-91.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q4 2023.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 39.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2023 (growth of 812.0%); the low point was Q4 2021 (a decline of 91.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.56 million (Q1 2026), $1.79 million (Q4 2025) and $1.55 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 | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | A2Z Cust2Mate Solutions | 234.36 Mn | 141.25 Mn | 2.51 Mn | 2.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.85 Mn |
| Mar 31, 2026 | 1.56 Mn |
| Dec 31, 2025 | 1.79 Mn |
| Sep 30, 2025 | 1.55 Mn |
| Jun 30, 2025 | 1.62 Mn |
| Mar 31, 2025 | 1.78 Mn |
| Dec 31, 2024 | 496,000.00 |
| Sep 30, 2024 | 1.30 Mn |
| Jun 30, 2024 | 791,000.00 |
| Mar 31, 2024 | 1.35 Mn |
| Dec 31, 2023 | 5.20 Mn |
| Sep 30, 2023 | 5.78 Mn |
| Jun 30, 2023 | 8.48 Mn |
| Mar 31, 2023 | 3.65 Mn |
| Dec 31, 2022 | 3.57 Mn |
| Sep 30, 2022 | 1.58 Mn |
| Jun 30, 2022 | 930,000.00 |
| Mar 31, 2022 | 697,000.00 |
| Dec 31, 2021 | 852,000.00 |
| Dec 31, 2020 | 9.53 Mn |
API Access
A2Z Cust2Mate Solutions 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=AZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AZ", "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=AZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();