Aware (AWRE) Accumulated Expenses (2009 - 2026)
Aware (AWRE) reported Accumulated Expenses of $961,000 for Q2 2026, down 20.2% from $1.21 million a year earlier and down 13.8% from the prior quarter.
Analysis
Aware (AWRE) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Aware posted Accumulated Expenses of $930,000, down 35.7% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $1.45 million in FY2024 (-15.2%), $1.71 million in FY2023 (+33.1%), $1.28 million in FY2022 (-32.8%) and $1.91 million in FY2021 (+24.7%).
- Five-year quarterly Accumulated Expenses spans a low of $780,000 in Q1 2023 and a high of $2.06 million in Q3 2021.
- Year over year, Accumulated Expenses gained in two of the last eight quarters, with an average decline of 8.2%.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2024 (growth of 36.4%); the low point was Q2 2023 (a decline of 50.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.12 million (Q1 2026), $930,000 (Q4 2025) and $1.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn |
| 10 | Aware | 19.45 Mn | 2.22 Mn | 3.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 954,000.00 |
| Jun 30, 2026 | 961,000.00 |
| Mar 31, 2026 | 1.12 Mn |
| Dec 31, 2025 | 930,000.00 |
| Sep 30, 2025 | 1.54 Mn |
| Jun 30, 2025 | 1.21 Mn |
| Mar 31, 2025 | 964,000.00 |
| Dec 31, 2024 | 1.45 Mn |
| Sep 30, 2024 | 1.30 Mn |
| Jun 30, 2024 | 1.21 Mn |
| Mar 31, 2024 | 1.03 Mn |
| Dec 31, 2023 | 1.71 Mn |
| Sep 30, 2023 | 1.65 Mn |
| Jun 30, 2023 | 888,000.00 |
| Mar 31, 2023 | 780,000.00 |
| Dec 31, 2022 | 1.28 Mn |
| Sep 30, 2022 | 1.69 Mn |
| Jun 30, 2022 | 1.79 Mn |
| Mar 31, 2022 | 1.26 Mn |
| Dec 31, 2021 | 1.91 Mn |
API Access
Aware Accumulated 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=accumulated-expenses&ticker=AWRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AWRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();