Sequans Communications (SQNS) Operating Leases (2019 - 2026)
Sequans Communications (SQNS) posted Operating Leases of $1.23 million for the quarter ended Jun 30, 2026, down 0.6% from the prior quarter.
Sequans Communications (SQNS) Operating Leases (2019 - 2026) Analysis & Trends
Since the quarter ended Mar 31, 2019, Sequans Communications has reported Operating Leases for 29 quarters.
- Annual Operating Leases shows a five-year compound annual growth rate of -23.8% (years ended Dec 2020 to Dec 2025).
- In prior years, Sequans Communications' Operating Leases was $333,000 in the year ended Dec 31, 2024 (-79.8%), $1.65 million in the year ended Dec 31, 2023 (-27.8%), $2.28 million in the year ended Dec 31, 2022 (-32.5%) and $3.37 million in the year ended Dec 31, 2021 (-29.2%).
- Quarterly Operating Leases has run from a low of $88,000 in the quarter ended Mar 31, 2025 to a high of $3.8 million in the quarter ended Sep 30, 2021 over five years.
- On a year-over-year basis, Operating Leases increased in two of the last five quarters, with growth averaging 48.0%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Dec 31, 2025, with growth of 267.9%; the weakest was the quarter ended Mar 31, 2025, with a decline of 93.5%.
- According to Business Quant data, Operating Leases for the three prior quarters was $1.24 million (quarter ended Mar 31, 2026), $1.23 million (quarter ended Dec 31, 2025) and $2.01 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Sequans Communications | 604.99 Mn | 546.57 Mn | 2.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 Mn |
| Mar 31, 2026 | 1.24 Mn |
| Dec 31, 2025 | 1.23 Mn |
| Sep 30, 2025 | 2.01 Mn |
| Mar 31, 2025 | 88,000.00 |
| Dec 31, 2024 | 333,000.00 |
| Sep 30, 2024 | 649,000.00 |
| Jun 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 1.36 Mn |
| Dec 31, 2023 | 1.65 Mn |
| Sep 30, 2023 | 1.85 Mn |
| Jun 30, 2023 | 2.17 Mn |
| Mar 31, 2023 | 2.11 Mn |
| Dec 31, 2022 | 2.28 Mn |
| Sep 30, 2022 | 2.34 Mn |
| Jun 30, 2022 | 2.73 Mn |
| Mar 31, 2022 | 3.04 Mn |
| Dec 31, 2021 | 3.37 Mn |
| Sep 30, 2021 | 3.80 Mn |
| Jun 30, 2021 | 3.85 Mn |
Sequans Communications 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=SQNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=SQNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();