Gigamedia (GIGM) Receivables - Net (2009 - 2026)
Gigamedia (GIGM) posted Receivables - Net of $182,000 for the quarter ended Jun 30, 2026, up 9.0% from $167,000 a year earlier and up 73.3% from the prior quarter.
Gigamedia (GIGM) Receivables - Net (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gigamedia's Receivables - Net came in at $500,000, up 254.6% from the prior year.
- Annual Receivables - Net shows a five-year compound annual growth rate of -21.5% (years ended Dec 2020 to Dec 2025).
- In prior years, Gigamedia's Receivables - Net was $141,000 in the year ended Dec 31, 2024 (-37.9%), $227,000 in the year ended Dec 31, 2023 (+14.1%), $199,000 in the year ended Dec 31, 2022 (-24.9%) and $265,000 in the year ended Dec 31, 2021 (-84.2%).
- Quarterly Receivables - Net has run from a low of $3,000 in the quarter ended Dec 31, 2021 to a high of $500,000 in the quarter ended Dec 31, 2025 over five years.
- On a year-over-year basis, Receivables - Net increased in two of the last eight quarters, with growth averaging 11.8%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was the quarter ended Dec 31, 2025, with growth of 254.6%; the weakest was the quarter ended Dec 31, 2021, with a decline of 99.8%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $105,000 (quarter ended Mar 31, 2026), $500,000 (quarter ended Dec 31, 2025) and $140,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,048.90 Bn | 3,806.42 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,804.49 Bn | 1,507.01 Bn | 49.47 Bn |
| 3 | Netflix | 279.70 Bn | 239.90 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 243.62 Bn | 57.40 Bn | 15.11 Bn |
| 5 | Shopify | 227.56 Bn | 204.74 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.10 Bn | 110.90 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.87 Bn | 55.92 Bn | - |
| 8 | PDD Holdings | 110.30 Bn | -133.48 Bn | 9.45 Bn |
| 9 | Spotify Technology | 108.11 Bn | 65.61 Bn | 1.86 Bn |
| 10 | Gigamedia | 13.82 Mn | -109.65 Mn | 1.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 182,000.00 |
| Mar 31, 2026 | 105,000.00 |
| Dec 31, 2025 | 108,000.00 |
| Sep 30, 2025 | 140,000.00 |
| Jun 30, 2025 | 167,000.00 |
| Mar 31, 2025 | 145,000.00 |
| Dec 31, 2024 | 141,000.00 |
| Sep 30, 2024 | 157,000.00 |
| Jun 30, 2024 | 198,000.00 |
| Mar 31, 2024 | 239,000.00 |
| Dec 31, 2023 | 227,000.00 |
| Sep 30, 2023 | 253,000.00 |
| Jun 30, 2023 | 187,000.00 |
| Mar 31, 2023 | 155,000.00 |
| Dec 31, 2022 | 199,000.00 |
| Sep 30, 2022 | 193,988.00 |
| Jun 30, 2022 | 192,716.00 |
| Mar 31, 2022 | 245,742.00 |
| Dec 31, 2021 | 265,000.00 |
| Sep 30, 2021 | 300,895.00 |
Gigamedia Receivables - Net 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=receivables-net&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();