Sangoma Technologies (SANG) Prepaid Assets (2020 - 2026)
Sangoma Technologies (SANG) recorded Prepaid Assets of $4.04 million in the quarter ended Jun 30, 2026, up 11.4% from $3.63 million a year earlier but down 26.8% from the prior quarter.
Sangoma Technologies (SANG) Prepaid Assets (2020 - 2026) Analysis & Trends
Starting with the quarter ended Jun 30, 2020, Sangoma Technologies' Prepaid Assets history includes 21 quarters.
- Annual Prepaid Assets has a five-year compound annual growth rate of 4.2% (years ended Jun 2021 to Jun 2026).
- Across earlier years, Prepaid Assets came in at $3.63 million in the year ended Jun 30, 2025 (-6.2%), $3.87 million in the year ended Jun 30, 2024 (-12.5%), $4.42 million in the year ended Jun 30, 2023 (+1.3%) and $4.36 million in the year ended Jun 30, 2022 (+32.4%).
- Quarterly Prepaid Assets has ranged from $2.48 million in the quarter ended Dec 31, 2022 to $5.52 million in the quarter ended Mar 31, 2026 over the past five years.
- On a year-over-year basis, Prepaid Assets has increased for four consecutive quarters, with growth averaging 13.3% over the last eight quarters.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 39.8% in the quarter ended Dec 31, 2025, against a decline of 55.1% in the quarter ended Dec 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.52 million (quarter ended Mar 31, 2026), $4.28 million (quarter ended Dec 31, 2025) and $4.49 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 | 4.04 Mn |
| Mar 31, 2026 | 5.52 Mn |
| Dec 31, 2025 | 4.28 Mn |
| Sep 30, 2025 | 4.49 Mn |
| Jun 30, 2025 | 3.63 Mn |
| Mar 31, 2025 | 3.99 Mn |
| Dec 31, 2024 | 3.06 Mn |
| Sep 30, 2024 | 3.58 Mn |
| Jun 30, 2024 | 3.87 Mn |
| Mar 31, 2024 | 3.96 Mn |
| Dec 31, 2023 | 3.13 Mn |
| Sep 30, 2023 | 3.60 Mn |
| Jun 30, 2023 | 4.42 Mn |
| Mar 31, 2023 | 4.32 Mn |
| Dec 31, 2022 | 2.48 Mn |
| Sep 30, 2022 | 3.18 Mn |
| Jun 30, 2022 | 4.36 Mn |
| Mar 31, 2022 | 5.20 Mn |
| Dec 31, 2021 | 5.52 Mn |
| Jun 30, 2021 | 3.30 Mn |
Sangoma Technologies Prepaid Assets 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=prepaid-assets&ticker=SANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();