Aerkomm (AKOM) Total Non-Current Liabilities (2018 - 2026)
Aerkomm (AKOM) recorded Total Non-Current Liabilities of $158,941 in Q2 2026, compared with $1,025 a year earlier and down 17.9% from the prior quarter.
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Analysis
Aerkomm (AKOM) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Aerkomm reported Total Non-Current Liabilities of $227,765, up 304.5% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -53.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $56,303 in FY2024 (-94.8%), $1.08 million in FY2023 (-95.5%), $24.18 million in FY2022 (+154.6%) and $9.5 million in FY2021 (-7.1%).
- Quarterly Total Non-Current Liabilities has ranged from $1,025 in Q2 2025 to $33.68 million in Q3 2023 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last seven quarters, with growth averaging 80.0%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 874.5% in Q3 2021, against a decline of 99.6% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $193,710 (Q1 2026), $227,765 (Q4 2025) and $266,575 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 95.58 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 82.00 Mn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 161.64 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 48.98 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 14.09 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 15.89 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 6.79 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 31.46 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 26.94 Bn |
| 10 | Aerkomm | 196,538.86 | -554,603.14 | 8,721.00 | 158,941.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158,941.00 |
| Mar 31, 2026 | 193,710.00 |
| Dec 31, 2025 | 227,765.00 |
| Sep 30, 2025 | 266,575.00 |
| Jun 30, 2025 | 1,025.00 |
| Mar 31, 2025 | 25,654.00 |
| Dec 31, 2024 | 56,303.00 |
| Sep 30, 2024 | 290,847.00 |
| Jun 30, 2024 | 280,416.00 |
| Mar 31, 2024 | 1.06 Mn |
| Dec 31, 2023 | 1.08 Mn |
| Sep 30, 2023 | 33.68 Mn |
| Jun 30, 2023 | 33.49 Mn |
| Mar 31, 2023 | 33.22 Mn |
| Dec 31, 2022 | 24.18 Mn |
| Sep 30, 2022 | 9.83 Mn |
| Jun 30, 2022 | 9.68 Mn |
| Mar 31, 2022 | 9.59 Mn |
| Dec 31, 2021 | 9.50 Mn |
| Sep 30, 2021 | 10.23 Mn |
API Access
Aerkomm 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=AKOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AKOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();