Sangoma Technologies (SANG) Price to Book (2020 - 2026)
Sangoma Technologies' Price to Book was 0.72 in the quarter ended Jun 30, 2026, down 9.1% from 0.79 a year earlier but up 112.2% from the prior quarter.
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Analysis
Sangoma Technologies (SANG) Price to Book (2020 - 2026) Analysis & Trends
From the quarter ended Jun 30, 2020 onward, Sangoma Technologies has reported Price to Book for 21 quarters.
- In earlier years, Price to Book was 0.79 in the year ended Jun 30, 2025 (+23.1%), 0.64 in the year ended Jun 30, 2024 (+40.0%), 0.46 in the year ended Jun 30, 2023 (-49.0%) and 0.90 in the year ended Jun 30, 2022 (-34.7%).
- Quarterly Price to Book has moved between 0.28 (the quarter ended Dec 31, 2023) and 2.17 (the quarter ended Mar 31, 2022) over five years.
- Compared with a year earlier, Price to Book has declined for four straight quarters, with growth averaging 17.4% over the last eight quarters.
- The best year-over-year quarter for Price to Book over five years was the quarter ended Dec 31, 2024 (growth of 124.3%); the worst was the quarter ended Mar 31, 2023 (a decline of 77.5%).
- Per Business Quant data, SANG's Price to Book in the three quarters before the quarter ended Jun 30, 2026 was 0.34 (quarter ended Mar 31, 2026), 0.44 (quarter ended Dec 31, 2025) and 0.43 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 94.34 Bn | 69.59 Bn | 6.00 Bn |
| 2 | Atlassian | 49.41 Bn | 42.69 Bn | 1.53 Bn |
| 3 | Twilio | 46.29 Bn | 36.29 Bn | 725.87 Mn |
| 4 | Autodesk | 44.16 Bn | 32.20 Bn | 1.87 Bn |
| 5 | Zoom Communications | 27.42 Bn | -3.37 Bn | 985.50 Mn |
| 6 | Figma | 11.43 Bn | 4.94 Bn | 309.61 Mn |
| 7 | Dropbox | 7.49 Bn | 3.12 Bn | 506.50 Mn |
| 8 | Nice | 7.04 Bn | 5.51 Bn | 995.81 Mn |
| 9 | RingCentral | 6.56 Bn | 6.05 Bn | 472.31 Mn |
| 10 | Sangoma Technologies | 163.36 Mn | 163.36 Mn | 32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.72 |
| Mar 31, 2026 | 0.34 |
| Dec 31, 2025 | 0.44 |
| Sep 30, 2025 | 0.43 |
| Jun 30, 2025 | 0.53 |
| Mar 31, 2025 | 0.39 |
| Dec 31, 2024 | 0.62 |
| Sep 30, 2024 | 0.49 |
| Jun 30, 2024 | 0.64 |
| Mar 31, 2024 | 0.42 |
| Dec 31, 2023 | 0.28 |
| Sep 30, 2023 | 0.30 |
| Jun 30, 2023 | 0.46 |
| Mar 31, 2023 | 0.49 |
| Dec 31, 2022 | 0.67 |
| Sep 30, 2022 | 0.77 |
| Jun 30, 2022 | 0.90 |
| Mar 31, 2022 | 2.17 |
| Dec 31, 2021 | 1.30 |
| Jun 30, 2021 | 1.38 |
API Access
Sangoma Technologies Price to Book 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=price-to-book&ticker=SANG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();