Gigamedia (GIGM) Other Operating Expenses (2009 - 2026)
Gigamedia's Other Operating Expenses was $525,000 in the quarter ended Jun 30, 2026, up 1.4% from $518,000 a year earlier and unchanged from the prior quarter.
Gigamedia (GIGM) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gigamedia's Other Operating Expenses was $2.28 million through Jun 30, 2026, down 30.0% year-over-year; for the year ended Dec 31, 2025, it was -$2,000.
- In earlier years, Other Operating Expenses was -$7,000 in the year ended Dec 31, 2024, -$7,000 in the year ended Dec 31, 2023, -$7,000 in the year ended Dec 31, 2022 and -$7,000 in the year ended Dec 31, 2021.
- Quarterly Other Operating Expenses has moved between -$347,000 (the quarter ended Mar 31, 2023) and $1.84 million (the quarter ended Sep 30, 2023) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in three of the last eight quarters, with an average decline of 7.1%.
- The best year-over-year quarter for Other Operating Expenses over five years was the quarter ended Dec 31, 2025 (growth of 26.4%); the worst was the quarter ended Sep 30, 2025 (a decline of 64.6%).
- Per Business Quant data, GIGM's Other Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $525,000 (quarter ended Mar 31, 2026), $651,000 (quarter ended Dec 31, 2025) and $578,000 (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 525,000.00 |
| Mar 31, 2026 | 525,000.00 |
| Dec 31, 2025 | 651,000.00 |
| Sep 30, 2025 | 578,000.00 |
| Jun 30, 2025 | 518,000.00 |
| Mar 31, 2025 | 590,000.00 |
| Dec 31, 2024 | 515,000.00 |
| Sep 30, 2024 | 545,000.00 |
| Jun 30, 2024 | 523,000.00 |
| Mar 31, 2024 | 564,000.00 |
| Dec 31, 2023 | 523,000.00 |
| Sep 30, 2023 | -358,000.00 |
| Jun 30, 2023 | 595,000.00 |
| Mar 31, 2023 | -347,000.00 |
| Dec 31, 2022 | 570,000.00 |
| Sep 30, 2022 | -266,376.00 |
| Jun 30, 2022 | 698,576.00 |
| Mar 31, 2022 | 757,869.00 |
| Dec 31, 2021 | -247,682.00 |
| Sep 30, 2021 | 825,284.00 |
Gigamedia Other Operating 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-operating-expenses&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();