Aware (AWRE) Total Liabilities (2010 - 2026)
Aware (AWRE) posted Total Liabilities of $8.96 million for Q2 2026, down 10.8% from $10.05 million a year earlier and down 13.1% from the prior quarter.
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Analysis
Aware (AWRE) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Aware's Total Liabilities came in at $11.06 million, down 5.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- In prior years, Aware's Total Liabilities was $11.75 million in FY2024 (-2.1%), $12 million in FY2023 (+9.2%), $10.98 million in FY2022 (+60.3%) and $6.85 million in FY2021 (+15.0%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q3 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 3.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2023, with growth of 78.7%; the weakest was Q2 2026, with a decline of 10.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $10.31 million (Q1 2026), $11.06 million (Q4 2025) and $13.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - | 5.27 Bn |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn | 3.81 Bn |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn | 797.71 Mn |
| 10 | Aware | 19.49 Mn | -1.61 Mn | 2.73 Mn | 8.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.96 Mn |
| Mar 31, 2026 | 10.31 Mn |
| Dec 31, 2025 | 11.06 Mn |
| Sep 30, 2025 | 13.04 Mn |
| Jun 30, 2025 | 10.05 Mn |
| Mar 31, 2025 | 10.43 Mn |
| Dec 31, 2024 | 11.75 Mn |
| Sep 30, 2024 | 11.83 Mn |
| Jun 30, 2024 | 10.62 Mn |
| Mar 31, 2024 | 11.68 Mn |
| Dec 31, 2023 | 12.00 Mn |
| Sep 30, 2023 | 12.32 Mn |
| Jun 30, 2023 | 11.23 Mn |
| Mar 31, 2023 | 10.63 Mn |
| Dec 31, 2022 | 10.98 Mn |
| Sep 30, 2022 | 7.40 Mn |
| Jun 30, 2022 | 6.80 Mn |
| Mar 31, 2022 | 5.95 Mn |
| Dec 31, 2021 | 6.85 Mn |
| Sep 30, 2021 | 5.77 Mn |
API Access
Aware Total 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-liabilities&ticker=AWRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AWRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();