Aware (AWRE) Operating Expenses (2010 - 2026)
Aware (AWRE) recorded Operating Expenses of $5.99 million in Q2 2026, up 2.3% from $5.86 million a year earlier but down 14.8% from the prior quarter.
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Analysis
Aware (AWRE) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Aware's Operating Expenses came in at $25.57 million as of Jun 30, 2026, up 11.6% year-over-year; for FY2025, it came in at $23.85 million, up 4.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $22.93 million in FY2024 (-14.4%), $26.78 million in FY2023 (+47.0%), $18.23 million in FY2022 (-20.6%) and $22.95 million in FY2021 (+10.7%).
- Quarterly Operating Expenses has ranged from $571,000 in Q3 2022 to $8.86 million in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 1.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 886.7% in Q3 2023, against a decline of 90.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.04 million (Q1 2026), $6.11 million (Q4 2025) and $6.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Aware | 24.31 Mn | 3.21 Mn | 2.73 Mn | 5.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.99 Mn |
| Mar 31, 2026 | 7.04 Mn |
| Dec 31, 2025 | 6.11 Mn |
| Sep 30, 2025 | 6.42 Mn |
| Jun 30, 2025 | 5.86 Mn |
| Mar 31, 2025 | 5.46 Mn |
| Dec 31, 2024 | 6.27 Mn |
| Sep 30, 2024 | 5.32 Mn |
| Jun 30, 2024 | 5.66 Mn |
| Mar 31, 2024 | 5.68 Mn |
| Dec 31, 2023 | 8.86 Mn |
| Sep 30, 2023 | 5.63 Mn |
| Jun 30, 2023 | 6.12 Mn |
| Mar 31, 2023 | 6.17 Mn |
| Dec 31, 2022 | 6.08 Mn |
| Sep 30, 2022 | 571,000.00 |
| Jun 30, 2022 | 5.59 Mn |
| Mar 31, 2022 | 5.98 Mn |
| Dec 31, 2021 | 5.52 Mn |
| Sep 30, 2021 | 5.76 Mn |
API Access
Aware 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=AWRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AWRE", "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=AWRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();