Birks (BGICF) Change in Inventory (2009 - 2025)
Birks' Change in Inventory came in at $578,841 for FY2026 (year ended Mar 28, 2026).
Analysis
Birks (BGICF) Change in Inventory (2009 - 2025) Analysis & Trends
Going back to FY2009, Birks' Change in Inventory data covers 18 fiscal years.
- Change in Inventory carries a five-year compound annual growth rate of -32.4% (FY2021 to FY2026).
- The five-year range for annual Change in Inventory is -$18.88 million (FY2022) to $9.45 million (FY2023).
- Per Business Quant, earlier fiscal years put Change in Inventory at $1.85 million in FY2025, -$6.54 million in FY2024, $9.45 million in FY2023 and -$18.88 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn | 312.00 Mn |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn | -19.10 Mn |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn | -22.10 Mn |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn | 37.99 Mn |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn | 53.27 Mn |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn | - |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn | 80.12 Mn |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn | 23.04 Mn |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn | - |
| 10 | Birks | 3.94 Mn | -1.21 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 1.35 Mn |
| Sep 28, 2024 | -4.79 Mn |
| Sep 23, 2023 | -3.67 Mn |
| Sep 24, 2022 | 1.03 Mn |
| Sep 25, 2021 | 9.26 Mn |
| Sep 26, 2020 | 1.57 Mn |
| Sep 28, 2019 | -10.11 Mn |
| Sep 24, 2016 | -4.48 Mn |
| Sep 26, 2015 | -4.96 Mn |
| Sep 27, 2014 | -6.49 Mn |
| Sep 28, 2013 | -22.12 Mn |
| Sep 29, 2012 | -9.13 Mn |
| Sep 24, 2011 | -8.04 Mn |
| Sep 25, 2010 | 3.14 Mn |
| Sep 26, 2009 | 5.44 Mn |
| Mar 28, 2009 | 20.24 Mn |
API Access
Birks Change in Inventory 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=change-in-inventory&ticker=BGICF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();