Sangoma Technologies (SANG) Amortization - Intangibles (2020 - 2026)
Sangoma Technologies (SANG) recorded Amortization - Intangibles of $7.97 million in the quarter ended Jun 30, 2026, down 2.4% from $8.17 million a year earlier and unchanged from the prior quarter.
Sangoma Technologies (SANG) Amortization - Intangibles (2020 - 2026) Analysis & Trends
For the year ended Jun 30, 2026, Sangoma Technologies reported Amortization - Intangibles of $32.11 million, down 2.0% from the prior year.
- Annual Amortization - Intangibles has declined for three straight years, though with a five-year compound annual growth rate of 87.9% (years ended Jun 2021 to Jun 2026).
- Across earlier years, Amortization - Intangibles came in at $32.77 million in the year ended Jun 30, 2025 (-1.6%), $33.31 million in the year ended Jun 30, 2024 (-1.8%), $33.93 million in the year ended Jun 30, 2023 and $1.28 million in the year ended Jun 30, 2022 (-6.5%).
- Quarterly Amortization - Intangibles has ranged from $175,000 in the quarter ended Sep 30, 2021 to $5.48 billion in the quarter ended Jun 30, 2023 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has declined for 11 consecutive quarters, with an average decline of 1.8% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 421.4% in the quarter ended Dec 31, 2021, against a decline of 99.8% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.97 million (quarter ended Mar 31, 2026), $7.99 million (quarter ended Dec 31, 2025) and $8.17 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn |
| 10 | Sangoma Technologies | 163.69 Mn | 163.69 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.97 Mn |
| Mar 31, 2026 | 7.97 Mn |
| Dec 31, 2025 | 7.99 Mn |
| Sep 30, 2025 | 8.17 Mn |
| Jun 30, 2025 | 8.17 Mn |
| Mar 31, 2025 | 8.20 Mn |
| Dec 31, 2024 | 8.20 Mn |
| Sep 30, 2024 | 8.20 Mn |
| Jun 30, 2024 | 8.34 Mn |
| Mar 31, 2024 | 8.25 Mn |
| Dec 31, 2023 | 8.36 Mn |
| Sep 30, 2023 | 8.36 Mn |
| Jun 30, 2023 | 5.48 Bn |
| Mar 31, 2023 | 8.57 Mn |
| Dec 31, 2022 | 8.58 Mn |
| Sep 30, 2022 | 422,000.00 |
| Jun 30, 2022 | 422,000.00 |
| Mar 31, 2022 | 7.64 Mn |
| Dec 31, 2021 | 7.64 Mn |
| Sep 30, 2021 | 175,000.00 |
Sangoma Technologies Amortization - Intangibles 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=amortization-intangibles&ticker=SANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();