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 | 4,071.44 Bn | 3,828.96 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,777.07 Bn | 1,479.59 Bn | 49.47 Bn |
| 3 | Netflix | 272.74 Bn | 232.94 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 242.17 Bn | 55.95 Bn | 15.11 Bn |
| 5 | Shopify | 225.98 Bn | 203.16 Bn | 1.71 Bn |
| 6 | Uber Technologies | 137.80 Bn | 109.60 Bn | 6.38 Bn |
| 7 | Booking Holdings | 121.57 Bn | 54.62 Bn | - |
| 8 | PDD Holdings | 110.14 Bn | -133.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 107.49 Bn | 64.99 Bn | 1.86 Bn |
| 10 | Gigamedia | 14.37 Mn | -109.10 Mn | 1.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 525,000.00 |
| Mar 31, 2026 | 513,000.00 |
| Dec 31, 2025 | 637,000.00 |
| Sep 30, 2025 | 578,000.00 |
| Jun 30, 2025 | 518,000.00 |
| Mar 31, 2025 | 578,000.00 |
| Dec 31, 2024 | 502,000.00 |
| Sep 30, 2024 | 545,000.00 |
| Jun 30, 2024 | 523,000.00 |
| Mar 31, 2024 | 552,000.00 |
| Dec 31, 2023 | 512,000.00 |
| Sep 30, 2023 | -358,000.00 |
| Jun 30, 2023 | 595,000.00 |
| Mar 31, 2023 | -347,010.00 |
| Dec 31, 2022 | 563,002.00 |
| Sep 30, 2022 | -266,376.00 |
| Jun 30, 2022 | 698,576.00 |
| Mar 31, 2022 | 752,105.00 |
| Dec 31, 2021 | -251,571.00 |
| 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();