Gigamedia (GIGM) Other Accumulated Expenses (2009 - 2026)
Gigamedia (GIGM) posted Other Accumulated Expenses of $599,000 for the quarter ended Sep 30, 2026, up 85.4% from $323,000 a year earlier and up 6.6% from the prior quarter.
Gigamedia (GIGM) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gigamedia's Other Accumulated Expenses came in at $341,000, down 40.2% from the prior year.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -2.5% (years ended Dec 2020 to Dec 2025).
- In prior years, Gigamedia's Other Accumulated Expenses was $570,000 in the year ended Dec 31, 2024 (-14.3%), $665,000 in the year ended Dec 31, 2023 (+8.0%), $616,000 in the year ended Dec 31, 2022 (-21.3%) and $783,000 in the year ended Dec 31, 2021 (+102.3%).
- The figure for the quarter ended Sep 30, 2026 stands as the highest quarterly Other Accumulated Expenses since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last three quarters, with an average decline of 2.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was the quarter ended Dec 31, 2021, with growth of 102.3%; the weakest was the quarter ended Sep 30, 2025, with a decline of 53.3%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $562,000 (quarter ended Jun 30, 2026), $562,000 (quarter ended Mar 31, 2026) and $341,000 (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - |
| 10 | Gigamedia | 15.36 Mn | -108.95 Mn | 2.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 599,000.00 |
| Jun 30, 2026 | 562,000.00 |
| Mar 31, 2026 | 562,000.00 |
| Dec 31, 2025 | 341,000.00 |
| Sep 30, 2025 | 323,000.00 |
| Jun 30, 2025 | 332,000.00 |
| Mar 31, 2025 | 525,000.00 |
| Dec 31, 2024 | 570,000.00 |
| Sep 30, 2024 | 691,000.00 |
| Jun 30, 2024 | 686,000.00 |
| Mar 31, 2024 | 688,000.00 |
| Dec 31, 2023 | 665,000.00 |
| Sep 30, 2023 | 720,000.00 |
| Jun 30, 2023 | 718,000.00 |
| Mar 31, 2023 | 637,000.00 |
| Dec 31, 2022 | 616,000.00 |
| Sep 30, 2022 | 785,621.00 |
| Jun 30, 2022 | 819,888.00 |
| Mar 31, 2022 | 820,580.00 |
| Dec 31, 2021 | 783,000.00 |
Gigamedia Other 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=other-accumulated-expenses&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "GIGM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();