Gigamedia (GIGM) Prepaid Assets (2009 - 2026)
Gigamedia (GIGM) posted Prepaid Assets of $248,000 for the quarter ended Jun 30, 2026, up 5.5% from $235,000 a year earlier but down 36.7% from the prior quarter.
Gigamedia (GIGM) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gigamedia's Prepaid Assets came in at $103,000, up 49.3% from the prior year.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 3.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Gigamedia's Prepaid Assets was $69,000 in the year ended Dec 31, 2024 (+27.8%), $54,000 in the year ended Dec 31, 2023 (-10.0%), $60,000 in the year ended Dec 31, 2022 (-85.0%) and $401,000 in the year ended Dec 31, 2021 (+355.7%).
- Quarterly Prepaid Assets has run from a low of -$313,000 in the quarter ended Dec 31, 2021 to a high of $728,280 in the quarter ended Mar 31, 2022 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last seven quarters, with growth averaging 14.0% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was the quarter ended Sep 30, 2021, with growth of 180.8%; the weakest was the quarter ended Sep 30, 2023, with a decline of 74.3%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $392,000 (quarter ended Mar 31, 2026), $103,000 (quarter ended Dec 31, 2025) and $148,000 (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 | 248,000.00 |
| Mar 31, 2026 | 392,000.00 |
| Dec 31, 2025 | 103,000.00 |
| Sep 30, 2025 | 148,000.00 |
| Jun 30, 2025 | 235,000.00 |
| Mar 31, 2025 | 376,000.00 |
| Dec 31, 2024 | 69,000.00 |
| Sep 30, 2024 | 123,000.00 |
| Jun 30, 2024 | 226,000.00 |
| Mar 31, 2024 | 374,000.00 |
| Dec 31, 2023 | 54,000.00 |
| Sep 30, 2023 | 123,000.00 |
| Jun 30, 2023 | 225,000.00 |
| Mar 31, 2023 | 368,000.00 |
| Dec 31, 2022 | 60,000.00 |
| Sep 30, 2022 | 479,308.00 |
| Jun 30, 2022 | 574,021.00 |
| Mar 31, 2022 | 728,280.00 |
| Dec 31, 2021 | -313,000.00 |
| Sep 30, 2021 | 436,201.00 |
Gigamedia Prepaid Assets 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=prepaid-assets&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();