A2Z Cust2Mate Solutions (AZ) Non Operating Interest Expenses (2019 - 2026)
A2Z Cust2Mate Solutions (AZ) posted Non Operating Interest Expenses of -$414,000 for Q1 2026, compared with -$39,000 a year earlier.
A2Z Cust2Mate Solutions (AZ) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Non Operating Interest Expenses at A2Z Cust2Mate Solutions was -$744,000; for FY2025, it was $1.22 million, up 262.8% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 62.7% (FY2020 to FY2025).
- In prior years, A2Z Cust2Mate Solutions' Non Operating Interest Expenses was $336,000 in FY2024 (+31.3%), $256,000 in FY2023 (-81.6%), $1.39 million in FY2022 and $91,000 in FY2021 (-15.0%).
- The Q1 2026 figure stands as the lowest quarterly Non Operating Interest Expenses in data going back to Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 20.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | A2Z Cust2Mate Solutions | 252.36 Mn | 159.25 Mn | 2.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -414,000.00 |
| Mar 31, 2025 | -39,000.00 |
| Mar 31, 2024 | -51,000.00 |
| Mar 31, 2023 | -240,000.00 |
| Dec 31, 2022 | 1.26 Mn |
| Sep 30, 2022 | 139,000.00 |
| Dec 31, 2021 | -30,000.00 |
| Sep 30, 2021 | 110,000.00 |
| Dec 31, 2019 | -109,000.00 |
A2Z Cust2Mate Solutions Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=AZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=AZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();