Aware (AWRE) Total Non-Current Liabilities (2020 - 2026)
Aware's Total Non-Current Liabilities came in at $3.3 million for Q2 2026, down 12.1% from $3.76 million a year earlier and down 4.0% from the prior quarter.
Aware (AWRE) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Aware's Total Non-Current Liabilities was $3.55 million, down 8.5% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 108.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $3.88 million in FY2024 (-12.7%), $4.45 million in FY2023 (-14.1%), $5.18 million in FY2022 (+366.8%) and $1.11 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q3 2022.
- Year-over-year, Total Non-Current Liabilities has declined for 11 consecutive quarters, with an average decline of 9.9% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2023 (growth of 518.6%), and the weakest in Q4 2023 (a decline of 14.1%).
- Business Quant data shows AWRE's Total Non-Current Liabilities at $3.44 million (Q1 2026), $3.55 million (Q4 2025) and $3.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Aware | 24.31 Mn | 3.21 Mn | 2.73 Mn | 3.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.30 Mn |
| Mar 31, 2026 | 3.44 Mn |
| Dec 31, 2025 | 3.55 Mn |
| Sep 30, 2025 | 3.75 Mn |
| Jun 30, 2025 | 3.76 Mn |
| Mar 31, 2025 | 3.87 Mn |
| Dec 31, 2024 | 3.88 Mn |
| Sep 30, 2024 | 4.00 Mn |
| Jun 30, 2024 | 4.14 Mn |
| Mar 31, 2024 | 4.27 Mn |
| Dec 31, 2023 | 4.45 Mn |
| Sep 30, 2023 | 4.46 Mn |
| Jun 30, 2023 | 4.60 Mn |
| Mar 31, 2023 | 4.59 Mn |
| Dec 31, 2022 | 5.18 Mn |
| Sep 30, 2022 | 921,000.00 |
| Jun 30, 2022 | 949,000.00 |
| Mar 31, 2022 | 742,000.00 |
| Dec 31, 2021 | 1.11 Mn |
| Dec 31, 2020 | 90,000.00 |
Aware Total Non-Current 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-non-current-liabilities&ticker=AWRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AWRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();