Aerkomm (AKOM) Change in Accrued Expenses (2013 - 2026)
Aerkomm's Change in Accrued Expenses was $629,168 in Q2 2026, up 16.4% from $540,423 a year earlier but down 60.6% from the prior quarter.
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Analysis
Aerkomm (AKOM) Change in Accrued Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aerkomm's Change in Accrued Expenses was $5.76 million through Jun 30, 2026, up 122.9% year-over-year; for FY2025, it came in at $5.02 million, down 8.2% from FY2024.
- Change in Accrued Expenses shows a five-year compound annual growth rate of 30.8% (FY2020 to FY2025).
- In earlier years, Change in Accrued Expenses was $5.46 million in FY2024 (+42.4%), $3.84 million in FY2023, $108,400 in FY2022 (-91.8%) and $1.32 million in FY2021 (+0.9%).
- Quarterly Change in Accrued Expenses has moved between -$5.79 million (Q4 2023) and $4.79 million (Q3 2023) over five years.
- Compared with a year earlier, Change in Accrued Expenses was higher in two of the last six quarters, with an average decline of 21.6%.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q2 2023 (growth of 390.7%); the worst was Q2 2025 (a decline of 69.0%).
- Per Business Quant data, AKOM's Change in Accrued Expenses in the three quarters before Q2 2026 was $1.6 million (Q1 2026), $1.91 million (Q4 2025) and $1.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | - |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | -492.00 Mn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | - |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 47.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 138.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | -32.00 Mn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 497.00 Mn |
| 10 | Aerkomm | 196,538.86 | -554,603.14 | 8,721.00 | 629,168.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 629,168.00 |
| Mar 31, 2026 | 1.60 Mn |
| Dec 31, 2025 | 1.91 Mn |
| Sep 30, 2025 | 1.62 Mn |
| Jun 30, 2025 | 540,423.00 |
| Mar 31, 2025 | 942,827.00 |
| Dec 31, 2024 | -1.34 Mn |
| Sep 30, 2024 | 2.44 Mn |
| Jun 30, 2024 | 1.74 Mn |
| Mar 31, 2024 | 2.62 Mn |
| Dec 31, 2023 | -5.79 Mn |
| Sep 30, 2023 | 4.79 Mn |
| Jun 30, 2023 | 4.18 Mn |
| Mar 31, 2023 | 655,362.00 |
| Dec 31, 2022 | -1.42 Mn |
| Sep 30, 2022 | -551,084.00 |
| Jun 30, 2022 | 852,209.00 |
| Mar 31, 2022 | 1.23 Mn |
| Dec 31, 2021 | -580,609.00 |
| Sep 30, 2021 | -4,787.00 |
API Access
Aerkomm Change in Accrued Expenses 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=change-in-accured-expenses&ticker=AKOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AKOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();