Gigamedia (GIGM) Receivables (2009 - 2026)
Gigamedia's Receivables came in at $384,000 for the quarter ended Jun 30, 2026, down 9.9% from $426,000 a year earlier but up 15.7% from the prior quarter.
Gigamedia (GIGM) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gigamedia's Receivables was $1.17 million, up 719.6% from the prior year.
- Receivables carries a five-year compound annual growth rate of -6.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Receivables was $143,000 in the year ended Dec 31, 2024 (-37.6%), $229,000 in the year ended Dec 31, 2023 (-60.0%), $573,000 in the year ended Dec 31, 2022 (-22.4%) and $738,000 in the year ended Dec 31, 2021 (-56.0%).
- The five-year range for quarterly Receivables is $143,000 (the quarter ended Dec 31, 2024) to $1.17 million (the quarter ended Dec 31, 2025).
- Year-over-year, Receivables increased in 1 of the last eight quarters, with growth averaging 67.5%.
- The fastest year-over-year change in Receivables over five years came in the quarter ended Dec 31, 2025 (growth of 719.6%), and the weakest in the quarter ended Dec 31, 2021 (a decline of 71.6%).
- Business Quant data shows GIGM's Receivables at $332,000 (quarter ended Mar 31, 2026), $1.17 million (quarter ended Dec 31, 2025) and $381,000 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 69.18 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.75 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 466.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.34 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 2.17 Bn |
| 10 | Gigamedia | 14.70 Mn | -115.12 Mn | 1.24 Mn | 384,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 384,000.00 |
| Mar 31, 2026 | 332,000.00 |
| Dec 31, 2025 | 1.17 Mn |
| Sep 30, 2025 | 381,000.00 |
| Jun 30, 2025 | 426,000.00 |
| Mar 31, 2025 | 413,000.00 |
| Dec 31, 2024 | 143,000.00 |
| Sep 30, 2024 | 549,000.00 |
| Jun 30, 2024 | 694,000.00 |
| Mar 31, 2024 | 610,000.00 |
| Dec 31, 2023 | 229,000.00 |
| Sep 30, 2023 | 617,000.00 |
| Jun 30, 2023 | 953,000.00 |
| Mar 31, 2023 | 922,000.00 |
| Dec 31, 2022 | 573,000.00 |
| Sep 30, 2022 | 591,442.00 |
| Jun 30, 2022 | 234,938.00 |
| Mar 31, 2022 | 266,885.00 |
| Dec 31, 2021 | 476,000.00 |
| Sep 30, 2021 | 316,358.00 |
Gigamedia Receivables 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&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();