Gigamedia (GIGM) Accumulated Expenses (2009 - 2026)
Gigamedia's Accumulated Expenses was $1.35 million in the quarter ended Sep 30, 2026, up 4.2% from $1.29 million a year earlier but down 0.9% 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%).
- Quarterly Accumulated Expenses has moved between $745,000 (the quarter ended Dec 31, 2024) and $1.44 million (the quarter ended Mar 31, 2022) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 12.7%.
- 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 Sep 30, 2026 was $1.36 million (quarter ended Jun 30, 2026), $754,000 (quarter ended Mar 31, 2026) and $1.11 million (quarter ended Dec 31, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.35 Mn |
| Jun 30, 2026 | 1.36 Mn |
| Mar 31, 2026 | 754,000.00 |
| Dec 31, 2025 | 1.11 Mn |
| Sep 30, 2025 | 1.29 Mn |
| 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 | 1.44 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();