A2Z Cust2Mate Solutions (AZ) Operating Expenses (2019 - 2026)
A2Z Cust2Mate Solutions (AZ) recorded Operating Expenses of $7.43 million in Q2 2026, up 19.0% from $6.24 million a year earlier and up 24.3% from the prior quarter.
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Analysis
A2Z Cust2Mate Solutions (AZ) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, A2Z Cust2Mate Solutions' Operating Expenses came in at $34.13 million as of Jun 30, 2026, up 81.3% year-over-year; for FY2025, it came in at $33.69 million.
- Annual Operating Expenses has a five-year compound annual growth rate of 64.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $28,000 in FY2024 (+55.6%), $18,000 in FY2023 (-99.9%), $18.06 million in FY2022 (+85.9%) and $9.72 million in FY2021 (+249.1%).
- Quarterly Operating Expenses has ranged from $2.18 million in Q4 2023 to $16.5 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 94.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 504.7% in Q4 2025, against a decline of 58.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.97 million (Q1 2026), $16.5 million (Q4 2025) and $4.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | A2Z Cust2Mate Solutions | 234.36 Mn | 141.25 Mn | 2.51 Mn | 7.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.43 Mn |
| Mar 31, 2026 | 5.97 Mn |
| Dec 31, 2025 | 16.50 Mn |
| Sep 30, 2025 | 4.23 Mn |
| Jun 30, 2025 | 6.24 Mn |
| Mar 31, 2025 | 6.73 Mn |
| Dec 31, 2024 | 2.73 Mn |
| Sep 30, 2024 | 3.13 Mn |
| Jun 30, 2024 | 2.62 Mn |
| Mar 31, 2024 | 3.74 Mn |
| Dec 31, 2023 | 2.18 Mn |
| Sep 30, 2023 | 5.05 Mn |
| Jun 30, 2023 | 5.02 Mn |
| Mar 31, 2023 | 4.93 Mn |
| Dec 31, 2022 | 5.26 Mn |
| Sep 30, 2022 | 6.52 Mn |
| Jun 30, 2022 | 3.38 Mn |
| Mar 31, 2022 | 2.93 Mn |
| Dec 31, 2021 | 3.48 Mn |
| Sep 30, 2021 | 2.75 Mn |
API Access
A2Z Cust2Mate Solutions Operating 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=operating-expenses&ticker=AZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();