Sequans Communications (SQNS) Operating Expenses (2010 - 2026)
Sequans Communications' Operating Expenses was -$9.67 million in the quarter ended Jun 30, 2026, compared with -$13.71 million a year earlier.
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Analysis
Sequans Communications (SQNS) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sequans Communications' Operating Expenses was -$159.7 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$126 million.
- In earlier years, Operating Expenses was $41.79 million in the year ended Dec 31, 2024, -$53.98 million in the year ended Dec 31, 2023, -$46.72 million in the year ended Dec 31, 2022 and $45.51 million in the year ended Dec 31, 2021 (-5.6%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Operating Expenses since the quarter ended Sep 30, 2024.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Sep 30, 2024 (growth of 444.0%); the worst was the quarter ended Sep 30, 2021 (a decline of 7.6%).
- Per Business Quant data, SQNS's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was -$52.78 million (quarter ended Mar 31, 2026), -$75.02 million (quarter ended Dec 31, 2025) and -$22.24 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Sequans Communications | 604.99 Mn | 546.57 Mn | 2.45 Mn | -9.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.67 Mn |
| Mar 31, 2026 | -52.78 Mn |
| Dec 31, 2025 | -75.02 Mn |
| Sep 30, 2025 | -22.24 Mn |
| Jun 30, 2025 | -13.71 Mn |
| Mar 31, 2025 | -12.03 Mn |
| Dec 31, 2024 | -13.01 Mn |
| Sep 30, 2024 | 79.02 Mn |
| Jun 30, 2024 | -11.84 Mn |
| Mar 31, 2024 | 12.39 Mn |
| Dec 31, 2023 | 13.37 Mn |
| Sep 30, 2023 | 14.53 Mn |
| Jun 30, 2023 | 12.92 Mn |
| Mar 31, 2023 | 13.34 Mn |
| Dec 31, 2022 | 12.96 Mn |
| Sep 30, 2022 | 11.61 Mn |
| Jun 30, 2022 | 10.73 Mn |
| Mar 31, 2022 | 11.43 Mn |
| Dec 31, 2021 | 11.92 Mn |
| Sep 30, 2021 | 10.93 Mn |
API Access
Sequans Communications Operating Expenses 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-expenses&ticker=SQNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SQNS", "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-expenses&ticker=SQNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();