Aerkomm (AKOM) Accumulated Expenses (2012 - 2026)
Aerkomm's Accumulated Expenses came in at $14.86 million for Q2 2026, up 54.2% from $9.64 million a year earlier and up 9.6% from the prior quarter.
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Analysis
Aerkomm (AKOM) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Aerkomm's Accumulated Expenses was $12.85 million, up 55.5% from FY2024.
- Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 62.6% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $8.26 million in FY2024 (+37.8%), $6 million in FY2023 (+146.4%), $2.43 million in FY2022 (-15.6%) and $2.88 million in FY2021 (+155.0%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2012.
- Year-over-year, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 49.3% over the last six quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 155.0%), and the weakest in Q4 2022 (a decline of 15.6%).
- Business Quant data shows AKOM's Accumulated Expenses at $13.56 million (Q1 2026), $12.85 million (Q4 2025) and $11.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 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 |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Aerkomm | 196,538.86 | -554,603.14 | 8,721.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.86 Mn |
| Mar 31, 2026 | 13.56 Mn |
| Dec 31, 2025 | 12.85 Mn |
| Sep 30, 2025 | 11.09 Mn |
| Jun 30, 2025 | 9.64 Mn |
| Mar 31, 2025 | 8.31 Mn |
| Dec 31, 2024 | 8.26 Mn |
| Sep 30, 2024 | 7.96 Mn |
| Jun 30, 2024 | 6.60 Mn |
| Dec 31, 2023 | 6.00 Mn |
| Dec 31, 2022 | 2.43 Mn |
| Dec 31, 2021 | 2.88 Mn |
| Sep 30, 2021 | 6.68 Mn |
| Jun 30, 2021 | 6.62 Mn |
| Mar 31, 2021 | 5.53 Mn |
| Dec 31, 2020 | 1.13 Mn |
| Sep 30, 2020 | 4.22 Mn |
| Jun 30, 2020 | 3.36 Mn |
| Mar 31, 2020 | 3.12 Mn |
| Dec 31, 2019 | 245,140.00 |
API Access
Aerkomm Accumulated 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=accumulated-expenses&ticker=AKOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AKOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();