Sangoma Technologies (SANG) Receivables - Net (2020 - 2026)
Sangoma Technologies' Receivables - Net was $11.31 million in the quarter ended Jun 30, 2026, down 25.3% from $15.13 million a year earlier but up 17.1% from the prior quarter.
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Analysis
Sangoma Technologies (SANG) Receivables - Net (2020 - 2026) Analysis & Trends
From the quarter ended Jun 30, 2020 onward, Sangoma Technologies has reported Receivables - Net for 21 quarters.
- Receivables - Net has now declined for four consecutive years, with a five-year compound annual growth rate of -5.2% (years ended Jun 2021 to Jun 2026).
- In earlier years, Receivables - Net was $15.13 million in the year ended Jun 30, 2025 (-18.6%), $18.6 million in the year ended Jun 30, 2024 (-15.1%), $21.91 million in the year ended Jun 30, 2023 (-8.5%) and $23.94 million in the year ended Jun 30, 2022 (+62.5%).
- Quarterly Receivables - Net has moved between $9.32 million (the quarter ended Dec 31, 2025) and $25.12 million (the quarter ended Sep 30, 2022) over five years.
- Compared with a year earlier, Receivables - Net has declined for 13 straight quarters, with an average decline of 25.0% over the last eight quarters.
- The best year-over-year quarter for Receivables - Net over five years was the quarter ended Jun 30, 2022 (growth of 62.5%); the worst was the quarter ended Mar 31, 2025 (a decline of 49.6%).
- Per Business Quant data, SANG's Receivables - Net in the three quarters before the quarter ended Jun 30, 2026 was $9.65 million (quarter ended Mar 31, 2026), $9.32 million (quarter ended Dec 31, 2025) and $13.06 million (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.31 Mn |
| Mar 31, 2026 | 9.65 Mn |
| Dec 31, 2025 | 9.32 Mn |
| Sep 30, 2025 | 13.06 Mn |
| Jun 30, 2025 | 15.13 Mn |
| Mar 31, 2025 | 9.94 Mn |
| Dec 31, 2024 | 14.01 Mn |
| Sep 30, 2024 | 16.30 Mn |
| Jun 30, 2024 | 18.60 Mn |
| Mar 31, 2024 | 19.72 Mn |
| Dec 31, 2023 | 20.09 Mn |
| Sep 30, 2023 | 20.43 Mn |
| Jun 30, 2023 | 21.91 Mn |
| Mar 31, 2023 | 22.84 Mn |
| Dec 31, 2022 | 22.51 Mn |
| Sep 30, 2022 | 25.12 Mn |
| Jun 30, 2022 | 23.94 Mn |
| Mar 31, 2022 | 18.42 Mn |
| Dec 31, 2021 | 15.98 Mn |
| Jun 30, 2021 | 14.73 Mn |
API Access
Sangoma Technologies Receivables - Net 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=receivables-net&ticker=SANG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();