Hypha Labs, Inc. (FUNI) Price to Book (2014 - 2020)
Hypha Labs' Price to Book came in at 20.95 for fiscal Q2 2020 (quarter ended Mar 31, 2020), up 141.2% from 8.69 a year earlier but down 77.0% from the prior quarter.
Powered by 
Analysis
Hypha Labs, Inc. (FUNI) Price to Book (2014 - 2020) Analysis & Trends
For FY2019 (ended Sep 30, 2019), Hypha Labs' Price to Book was 12.49, up 100.0% from FY2018.
- Price to Book has increased in each of the last four fiscal years.
- Going back by fiscal year, Price to Book was 6.25 in FY2018 (+47.6%), 4.23 in FY2017 (+41.7%), 2.99 in FY2016 (+203.8%) and 0.98 in FY2015 (-96.3%).
- The five-year range for quarterly Price to Book is 0.98 (fiscal Q4 2015) to 91.25 (fiscal Q1 2020).
- Year-over-year, Price to Book increased in six of the last seven quarters, with growth averaging 54.0%.
- The fastest year-over-year change in Price to Book over five years came in fiscal Q4 2016 (growth of 203.8%), and the weakest in fiscal Q4 2015 (a decline of 96.3%).
- Business Quant data shows FUNI's Price to Book at 91.25 (Q1 2020), 12.49 (Q4 2019) and 8.69 (Q3 2019) in the three fiscal quarters before Q2 2020.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 20.95 |
| Dec 31, 2019 | 91.25 |
| Sep 30, 2019 | 12.49 |
| Jun 30, 2019 | 8.69 |
| Mar 31, 2019 | 8.69 |
| Dec 31, 2018 | 6.18 |
| Sep 30, 2018 | 6.25 |
| Jun 30, 2018 | 6.99 |
| Mar 31, 2018 | 6.37 |
| Dec 31, 2017 | 7.79 |
| Sep 30, 2017 | 4.23 |
| Jun 30, 2017 | 4.69 |
| Mar 31, 2017 | 5.25 |
| Dec 31, 2016 | 3.85 |
| Sep 30, 2016 | 2.99 |
| Jun 30, 2016 | 2.94 |
| Mar 31, 2016 | 3.52 |
| Dec 31, 2015 | 1.43 |
| Sep 30, 2015 | 0.98 |
| Jun 30, 2015 | 1.01 |
API Access
Hypha Labs, 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=FUNI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "FUNI", "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=FUNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();