Sangoma Technologies (SANG) Total Debt (2020 - 2026)
Sangoma Technologies (SANG) reported Total Debt of $40.23 million for the quarter ended Jun 30, 2026, down 3.2% from $41.55 million a year earlier but up 95.3% from the prior quarter.
Sangoma Technologies (SANG) Total Debt (2020 - 2026) Analysis & Trends
Dating back to the quarter ended Jun 30, 2020, Sangoma Technologies' Total Debt record includes 24 quarters.
- Total Debt has a five-year compound annual growth rate of 22.6% (years ended Jun 2021 to Jun 2026).
- By year, Total Debt came in at $56.48 million in the year ended Jun 30, 2025 (+184.2%), $19.88 million in the year ended Jun 30, 2024 (+12.3%), $17.7 million in the year ended Jun 30, 2023 (unchanged) and $17.7 million in the year ended Jun 30, 2022 (+21.6%).
- Five-year quarterly Total Debt spans a low of -$24.78 million in the quarter ended Mar 31, 2025 and a high of $41.55 million in the quarter ended Jun 30, 2025.
- Year over year, Total Debt gained in three of the last six quarters, with growth averaging 23.8%.
- The high point for year-over-year Total Debt in five years was the quarter ended Jun 30, 2025 (growth of 109.1%); the low point was the quarter ended Mar 31, 2023 (a decline of 19.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $20.6 million (quarter ended Mar 31, 2026), $20.6 million (quarter ended Dec 31, 2025) and $20.6 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 1.60 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 989.56 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | - |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 2.98 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 | 2.61 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 14.03 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 1.12 Bn |
| 10 | Sangoma Technologies | 119.69 Mn | 119.69 Mn | 32.27 Mn | 40.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.23 Mn |
| Mar 31, 2026 | 20.60 Mn |
| Dec 31, 2025 | 20.60 Mn |
| Sep 30, 2025 | 20.60 Mn |
| Jun 30, 2025 | 20.60 Mn |
| Mar 31, 2025 | -24.78 Mn |
| Dec 31, 2024 | 22.78 Mn |
| Sep 30, 2024 | 22.05 Mn |
| Jun 30, 2024 | 19.88 Mn |
| Mar 31, 2024 | 17.70 Mn |
| Dec 31, 2023 | 17.70 Mn |
| Sep 30, 2023 | 17.70 Mn |
| Jun 30, 2023 | 17.70 Mn |
| Mar 31, 2023 | 17.70 Mn |
| Dec 31, 2022 | 17.70 Mn |
| Sep 30, 2022 | 17.70 Mn |
| Jun 30, 2022 | 17.70 Mn |
| Mar 31, 2022 | 22.05 Mn |
| Dec 31, 2021 | 14.55 Mn |
| Sep 30, 2021 | -3.64 Mn |
Sangoma Technologies Total Debt 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=total-debt&ticker=SANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();