Gigamedia (GIGM) Accumulated Expenses (2009 - 2026)
Gigamedia's Accumulated Expenses was $1.36 million in the quarter ended Jun 30, 2026, up 33.7% from $1.02 million a year earlier and up 80.1% from the prior quarter.
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Analysis
Gigamedia (GIGM) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at Gigamedia came in at $1.11 million, up 49.0% from the prior year.
- Accumulated Expenses shows a five-year compound annual growth rate of -6.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $745,000 in the year ended Dec 31, 2024 (-37.0%), $1.18 million in the year ended Dec 31, 2023 (+2.7%), $1.15 million in the year ended Dec 31, 2022 (-19.8%) and $1.44 million in the year ended Dec 31, 2021 (-5.3%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Accumulated Expenses since the quarter ended Mar 31, 2022.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last eight quarters, with growth averaging 5.3%.
- The best year-over-year quarter for Accumulated Expenses over five years was the quarter ended Dec 31, 2025 (growth of 49.0%); the worst was the quarter ended Mar 31, 2023 (a decline of 38.9%).
- Per Business Quant data, GIGM's Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $754,000 (quarter ended Mar 31, 2026), $1.11 million (quarter ended Dec 31, 2025) and $873,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Gigamedia | 15.14 Mn | -114.68 Mn | 1.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.36 Mn |
| Mar 31, 2026 | 754,000.00 |
| Dec 31, 2025 | 1.11 Mn |
| Sep 30, 2025 | 873,000.00 |
| Jun 30, 2025 | 1.02 Mn |
| Mar 31, 2025 | 888,000.00 |
| Dec 31, 2024 | 745,000.00 |
| Sep 30, 2024 | 912,000.00 |
| Jun 30, 2024 | 778,000.00 |
| Mar 31, 2024 | 941,000.00 |
| Dec 31, 2023 | 1.18 Mn |
| Sep 30, 2023 | 1.01 Mn |
| Jun 30, 2023 | 855,000.00 |
| Mar 31, 2023 | 878,000.00 |
| Dec 31, 2022 | 1.15 Mn |
| Sep 30, 2022 | 1.27 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 1.44 Mn |
| Dec 31, 2021 | -80,000.00 |
| Sep 30, 2021 | 1.40 Mn |
API Access
Gigamedia 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=GIGM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();