Gigamedia (GIGM) Non-Current Assets (2009 - 2026)
Gigamedia (GIGM) recorded Non-Current Assets of $15.63 million in the quarter ended Sep 30, 2026, up 39.8% from $11.18 million a year earlier and up 5.6% from the prior quarter.
Gigamedia (GIGM) Non-Current Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gigamedia reported Non-Current Assets of $49.22 million, down 4.4% from the prior year.
- Annual Non-Current Assets has a five-year compound annual growth rate of -4.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Non-Current Assets came in at $51.5 million in the year ended Dec 31, 2024 (unchanged), $51.5 million in the year ended Dec 31, 2023 (-12.4%), $58.81 million in the year ended Dec 31, 2022 (unchanged) and $58.81 million in the year ended Dec 31, 2021 (-4.2%).
- The figure for the quarter ended Sep 30, 2026 is the highest quarterly Non-Current Assets since the quarter ended Jun 30, 2015.
- On a year-over-year basis, Non-Current Assets rose in five of the last eight quarters, with growth averaging 13.3%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 166.5% in the quarter ended Sep 30, 2023, against a decline of 67.8% in the quarter ended Jun 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.79 million (quarter ended Jun 30, 2026), $5.98 million (quarter ended Mar 31, 2026) and $4.49 million (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 628.65 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 358.94 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 45.46 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | 187.92 Bn |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 6.88 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 53.20 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 2.88 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | 5.31 Bn |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 6.67 Bn |
| 10 | Gigamedia | 15.14 Mn | -138.23 Mn | - | 4.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.63 Mn |
| Jun 30, 2026 | 14.79 Mn |
| Mar 31, 2026 | 5.98 Mn |
| Dec 31, 2025 | 4.49 Mn |
| Sep 30, 2025 | 11.18 Mn |
| Jun 30, 2025 | 9.71 Mn |
| Mar 31, 2025 | 9.53 Mn |
| Dec 31, 2024 | 6.93 Mn |
| Sep 30, 2024 | 8.37 Mn |
| Jun 30, 2024 | 7.42 Mn |
| Mar 31, 2024 | 7.49 Mn |
| Dec 31, 2023 | 7.29 Mn |
| Sep 30, 2023 | 10.97 Mn |
| Jun 30, 2023 | 4.13 Mn |
| Mar 31, 2023 | 4.22 Mn |
| Dec 31, 2022 | 4.31 Mn |
| Sep 30, 2022 | 4.12 Mn |
| Jun 30, 2022 | 12.80 Mn |
| Mar 31, 2022 | 13.03 Mn |
| Dec 31, 2021 | 12.94 Mn |
Gigamedia Non-Current 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=non-current-assets&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();