Birks (BGICF) EBITDA (2009 - 2025)
Birks (BGICF) recorded EBITDA of $8.29 million in FY2026 (year ended Mar 28, 2026), up 393.8% from $1.68 million in FY2025.
Analysis
Birks (BGICF) EBITDA (2009 - 2025) Analysis & Trends
Starting with FY2010, Birks' EBITDA history includes 17 fiscal years.
- Annual EBITDA has a five-year compound annual growth rate of 23.2% (FY2021 to FY2026).
- The FY2026 figure is the highest annual EBITDA since FY2022.
- Per Business Quant data, BGICF's EBITDA was $1.68 million in FY2025 (-71.9%), $5.98 million in FY2024 (+191.1%), $2.06 million in FY2023 (-80.5%) and $10.53 million in FY2022 (+260.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn | 1.08 Bn |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn | 424.10 Mn |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn | 595.99 Mn |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn | 408.50 Mn |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn | 277.10 Mn |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn | 426.28 Mn |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn | 312.52 Mn |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn | 276.24 Mn |
| 10 | Birks | 3.94 Mn | -1.21 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 2.78 Mn |
| Sep 28, 2024 | 2.60 Mn |
| Sep 23, 2023 | 3.71 Mn |
| Sep 24, 2022 | 2.04 Mn |
| Sep 25, 2021 | 6.14 Mn |
| Sep 26, 2020 | 1.58 Mn |
| Sep 28, 2019 | 500,000.00 |
| Sep 23, 2017 | -4.28 Mn |
| Sep 24, 2016 | -414,639.32 |
| Sep 26, 2015 | 8.45 Mn |
| Sep 27, 2014 | 6.03 Mn |
| Sep 28, 2013 | -200,000.00 |
| Sep 29, 2012 | 1.72 Mn |
| Sep 24, 2011 | 3.01 Mn |
| Sep 25, 2010 | -133,000.00 |
| Sep 26, 2009 | -3.48 Mn |
| Mar 28, 2009 | -16.17 Mn |
API Access
Birks EBITDA 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=ebitda&ticker=BGICF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();