Gigamedia (GIGM) Prepaid Assets (2009 - 2026)
Gigamedia (GIGM) posted Prepaid Assets of $134,000 for the quarter ended Sep 30, 2026, down 9.5% from $148,000 a year earlier and down 46.0% 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 $54,000 in the quarter ended Dec 31, 2023 to a high of $728,280 in the quarter ended Mar 31, 2022 over five years.
- On a year-over-year basis, Prepaid Assets increased in seven of the last eight quarters, with growth averaging 12.8%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was the quarter ended Dec 31, 2021, with growth of 355.7%; the weakest was the quarter ended Dec 31, 2022, with a decline of 85.0%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $248,000 (quarter ended Jun 30, 2026), $392,000 (quarter ended Mar 31, 2026) and $103,000 (quarter ended Dec 31, 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 134,000.00 |
| 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 | 401,000.00 |
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();