Aerkomm (AKOM) Total Liabilities (2012 - 2026)
Aerkomm's Total Liabilities came in at $90.42 million for Q2 2026, up 28.3% from $70.45 million a year earlier and up 2.5% from the prior quarter.
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Analysis
Aerkomm (AKOM) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Aerkomm's Total Liabilities was $77.32 million, up 20.0% from FY2024.
- Total Liabilities has increased in each of the last six years, with a five-year compound annual growth rate of 34.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $64.42 million in FY2024 (+1.2%), $63.66 million in FY2023 (+39.7%), $45.57 million in FY2022 (+116.8%) and $21.02 million in FY2021 (+18.8%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2012.
- Year-over-year, Total Liabilities has increased for 24 consecutive quarters, with growth averaging 17.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 1.2% (Q4 2024) to 141.1% (Q3 2021).
- Business Quant data shows AKOM's Total Liabilities at $88.21 million (Q1 2026), $77.32 million (Q4 2025) and $73.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 109.44 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 105.63 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 164.18 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 54.45 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 32.91 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 18.06 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 7.52 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 33.81 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 30.44 Bn |
| 10 | Aerkomm | 196,538.86 | -554,603.14 | 8,721.00 | 90.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.42 Mn |
| Mar 31, 2026 | 88.21 Mn |
| Dec 31, 2025 | 77.32 Mn |
| Sep 30, 2025 | 73.75 Mn |
| Jun 30, 2025 | 70.45 Mn |
| Mar 31, 2025 | 65.87 Mn |
| Dec 31, 2024 | 64.42 Mn |
| Sep 30, 2024 | 59.58 Mn |
| Jun 30, 2024 | 58.98 Mn |
| Mar 31, 2024 | 59.42 Mn |
| Dec 31, 2023 | 63.66 Mn |
| Sep 30, 2023 | 56.62 Mn |
| Jun 30, 2023 | 53.35 Mn |
| Mar 31, 2023 | 46.27 Mn |
| Dec 31, 2022 | 45.57 Mn |
| Sep 30, 2022 | 35.13 Mn |
| Jun 30, 2022 | 25.44 Mn |
| Mar 31, 2022 | 22.26 Mn |
| Dec 31, 2021 | 21.02 Mn |
| Sep 30, 2021 | 21.81 Mn |
API Access
Aerkomm 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=AKOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AKOM", "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=AKOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();