Applied Energetics (AERG) Total Current Liabilities (2010 - 2026)
Applied Energetics' Total Current Liabilities came in at $1.4 million for Q2 2026, up 40.6% from $994,659 a year earlier and up 49.3% from the prior quarter.
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Analysis
Applied Energetics (AERG) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Applied Energetics' Total Current Liabilities was $840,346, up 14.7% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -14.1% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $732,418 in FY2024 (-21.0%), $927,382 in FY2023 (+22.6%), $756,532 in FY2022 (-46.6%) and $1.42 million in FY2021 (-21.3%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q1 2024.
- Year-over-year, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2024 (growth of 195.4%), and the weakest in Q3 2021 (a decline of 84.5%).
- Business Quant data shows AERG's Total Current Liabilities at $936,873 (Q1 2026), $840,346 (Q4 2025) and $923,972 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 312.43 Bn | 266.20 Bn | 4.68 Bn | 40.43 Bn |
| 2 | Rtx | 259.09 Bn | 230.57 Bn | 5.13 Bn | 63.25 Bn |
| 3 | Boeing | 150.88 Bn | 57.57 Bn | 2.41 Bn | 109.56 Bn |
| 4 | Lockheed Martin | 126.28 Bn | 113.00 Bn | 2.45 Bn | 23.81 Bn |
| 5 | General Dynamics | 92.90 Bn | 80.01 Bn | 2.18 Bn | 18.77 Bn |
| 6 | Howmet Aerospace | 84.06 Bn | 79.66 Bn | 951.00 Mn | 2.31 Bn |
| 7 | Motorola Solutions | 76.76 Bn | 73.11 Bn | 1.68 Bn | 5.58 Bn |
| 8 | Northrop Grumman | 75.88 Bn | 65.12 Bn | 2.12 Bn | 13.35 Bn |
| 9 | Honeywell International | 67.30 Bn | 19.43 Bn | 3.65 Bn | 23.19 Bn |
| 10 | Applied Energetics | 195.41 Mn | 182.39 Mn | 40,430.00 | 1.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.40 Mn |
| Mar 31, 2026 | 936,873.00 |
| Dec 31, 2025 | 840,346.00 |
| Sep 30, 2025 | 923,972.00 |
| Jun 30, 2025 | 994,659.00 |
| Mar 31, 2025 | 766,108.00 |
| Dec 31, 2024 | 732,418.00 |
| Sep 30, 2024 | 888,684.00 |
| Jun 30, 2024 | 698,232.00 |
| Mar 31, 2024 | 2.15 Mn |
| Dec 31, 2023 | 927,382.00 |
| Sep 30, 2023 | 953,001.00 |
| Jun 30, 2023 | 422,432.00 |
| Mar 31, 2023 | 729,247.00 |
| Dec 31, 2022 | 756,532.00 |
| Sep 30, 2022 | 1.79 Mn |
| Jun 30, 2022 | 1.45 Mn |
| Mar 31, 2022 | 1.53 Mn |
| Dec 31, 2021 | 1.42 Mn |
| Sep 30, 2021 | 1.36 Mn |
API Access
Applied Energetics Total 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-current-liabilities&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "AERG", "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-current-liabilities&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();