Voip-pal.com Inc (VPLM) Price to Book (2015 - 2026)
Voip-pal.com's (VPLM) Price to Book came in at 228.98 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 608.1% from 32.34 a year earlier and up 124.2% from the prior quarter.
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Analysis
Voip-pal.com Inc (VPLM) Price to Book (2015 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Voip-pal.com's Price to Book stood at 38.74, up 130.7% from FY2024.
- In prior fiscal years, Voip-pal.com's Price to Book was 16.79 in FY2024 (-15.5%), 19.88 in FY2023 (-48.6%), 38.64 in FY2022 (-42.6%) and 67.30 in FY2021 (-70.7%).
- The fiscal Q3 2026 figure stands as the highest quarterly Price to Book since fiscal Q1 2023.
- On a year-over-year basis, Price to Book has increased in each of the last five quarters, with growth averaging 154.4% over the last eight quarters.
- The strongest year-over-year quarter for Price to Book in the past five years was fiscal Q3 2026, with growth of 608.1%; the weakest was fiscal Q1 2024, with a decline of 91.3%.
- According to Business Quant data, Price to Book for the three prior fiscal quarters was 102.15 (Q2 2026), 72.56 (Q1 2026) and 38.74 (Q4 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 228.98 |
| Mar 31, 2026 | 102.15 |
| Dec 31, 2025 | 72.56 |
| Sep 30, 2025 | 38.74 |
| Jun 30, 2025 | 32.34 |
| Mar 31, 2025 | 26.09 |
| Dec 31, 2024 | 20.83 |
| Sep 30, 2024 | 16.79 |
| Jun 30, 2024 | 26.12 |
| Mar 31, 2024 | 33.73 |
| Dec 31, 2023 | 29.37 |
| Sep 30, 2023 | 19.88 |
| Jun 30, 2023 | 71.73 |
| Mar 31, 2023 | 81.33 |
| Dec 31, 2022 | 339.37 |
| Sep 30, 2022 | 38.64 |
| Jun 30, 2022 | 83.17 |
| Mar 31, 2022 | 102.97 |
| Dec 31, 2021 | 49.84 |
| Sep 30, 2021 | 67.30 |
API Access
Voip-pal.com Inc 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=VPLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "VPLM", "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=VPLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();