Birks (BGICF) Price to Book (2009 - 2022)
Birks' (BGICF) Price to Book came in at 16.16 for fiscal Q4 2022 (quarter ended Mar 26, 2022).
Analysis
Birks (BGICF) Price to Book (2009 - 2022) Analysis & Trends
Since fiscal Q4 2009, Birks has reported Price to Book for 21 quarters.
- In prior fiscal years, Birks' Price to Book was 2.27 in FY2020 (+56.7%), 1.45 in FY2019 (+144.4%) and 0.59 in FY2018 (-62.8%).
- The fiscal Q4 2022 figure stands as the highest quarterly Price to Book in data going back to fiscal Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn |
| 10 | Birks | 3.94 Mn | -2.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 24, 2022 | 22.99 |
| Mar 26, 2022 | 16.16 |
| Mar 28, 2020 | 2.27 |
| Sep 28, 2019 | 1.40 |
| Mar 30, 2019 | 1.45 |
| Sep 29, 2018 | 1.04 |
| Mar 31, 2018 | 0.59 |
| Sep 23, 2017 | 3.71 |
| Mar 25, 2017 | 1.59 |
| Sep 24, 2016 | 5.74 |
| Mar 26, 2016 | 0.84 |
| Sep 26, 2015 | 5.00 |
| Mar 28, 2015 | 8.72 |
| Sep 27, 2014 | 1.83 |
| Mar 29, 2014 | 1.44 |
| Sep 28, 2013 | 2.01 |
| Mar 30, 2013 | 0.76 |
| Sep 29, 2012 | 1.20 |
| Mar 31, 2012 | 1.02 |
| Sep 24, 2011 | 2.33 |
API Access
Birks 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=BGICF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "BGICF", "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=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();