Gigamedia (GIGM) Operating Leases (2019 - 2025)
Gigamedia (GIGM) recorded Operating Leases of $93,000 in the quarter ended Dec 31, 2025, up 10.7% from $84,000 a year earlier.
Analysis
Gigamedia (GIGM) Operating Leases (2019 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2019, Gigamedia's Operating Leases history includes 7 quarters.
- Annual Operating Leases has a five-year compound annual growth rate of 98.7% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Leases came in at $84,000 in the year ended Dec 31, 2024 (-83.0%), $495,000 in the year ended Dec 31, 2023 (-44.6%), $893,000 in the year ended Dec 31, 2022 (-38.4%) and $1.45 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 is the highest quarterly Operating Leases since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 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 |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | Gigamedia | 14.70 Mn | -115.12 Mn | 1.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 93,000.00 |
| Dec 31, 2024 | 84,000.00 |
| Dec 31, 2023 | 495,000.00 |
| Dec 31, 2022 | 893,000.00 |
| Dec 31, 2021 | 1.45 Mn |
| Dec 31, 2020 | 3,000.00 |
| Dec 31, 2019 | 94,000.00 |
API Access
Gigamedia Operating Leases 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=operating-leases&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();