Sangoma Technologies (SANG) Operating Leases (2020 - 2026)
Sangoma Technologies (SANG) reported Operating Leases of $5.31 million for the quarter ended Jun 30, 2026, down 21.4% from $6.75 million a year earlier and down 6.6% from the prior quarter.
Sangoma Technologies (SANG) Operating Leases (2020 - 2026) Analysis & Trends
Dating back to the quarter ended Jun 30, 2020, Sangoma Technologies' Operating Leases record includes 21 quarters.
- Operating Leases has declined for four consecutive years, with a five-year compound annual growth rate of -14.8% (years ended Jun 2021 to Jun 2026).
- By year, Operating Leases came in at $6.75 million in the year ended Jun 30, 2025 (-21.1%), $8.56 million in the year ended Jun 30, 2024 (-26.3%), $11.61 million in the year ended Jun 30, 2023 (-19.3%) and $14.4 million in the year ended Jun 30, 2022 (+21.8%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Operating Leases in data going back to the quarter ended Jun 30, 2020.
- Year over year, Operating Leases has now declined in each of the last 14 quarters, with an average decline of 22.4% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was the quarter ended Dec 31, 2022 (growth of 27.0%); the low point was the quarter ended Sep 30, 2024 (a decline of 27.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $5.69 million (quarter ended Mar 31, 2026), $6.09 million (quarter ended Dec 31, 2025) and $6.38 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn |
| 10 | Sangoma Technologies | 119.69 Mn | 119.69 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.31 Mn |
| Mar 31, 2026 | 5.69 Mn |
| Dec 31, 2025 | 6.09 Mn |
| Sep 30, 2025 | 6.38 Mn |
| Jun 30, 2025 | 6.75 Mn |
| Mar 31, 2025 | 7.24 Mn |
| Dec 31, 2024 | 7.67 Mn |
| Sep 30, 2024 | 8.04 Mn |
| Jun 30, 2024 | 8.56 Mn |
| Mar 31, 2024 | 9.18 Mn |
| Dec 31, 2023 | 10.30 Mn |
| Sep 30, 2023 | 11.05 Mn |
| Jun 30, 2023 | 11.61 Mn |
| Mar 31, 2023 | 12.29 Mn |
| Dec 31, 2022 | 12.96 Mn |
| Sep 30, 2022 | 13.64 Mn |
| Jun 30, 2022 | 14.40 Mn |
| Mar 31, 2022 | 13.75 Mn |
| Dec 31, 2021 | 10.21 Mn |
| Jun 30, 2021 | 11.82 Mn |
Sangoma Technologies 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=SANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "SANG", "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=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();