Birks (BGICF) Non Operating Interest Expenses (2009 - 2025)
Birks' Non Operating Interest Expenses was $6.34 million in FY2026 (year ended Mar 28, 2026), down 9.3% from $6.99 million in FY2025.
Analysis
Birks (BGICF) Non Operating Interest Expenses (2009 - 2025) Analysis & Trends
From FY2010 onward, Birks has reported Non Operating Interest Expenses for 11 fiscal years.
- Per Business Quant data, Non Operating Interest Expenses in earlier fiscal years was $6.99 million in FY2025 (+17.7%) and $5.94 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 12.80 Mn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 1.40 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 | 12.90 Mn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 31.64 Mn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 19.06 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 49.99 Mn |
| 10 | Birks | 3.94 Mn | -2.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 3.69 Mn |
| Sep 28, 2024 | 4.03 Mn |
| Sep 23, 2023 | 3.35 Mn |
| Sep 24, 2022 | 2.27 Mn |
| Sep 25, 2021 | 1.68 Mn |
| Sep 23, 2017 | 1.44 Mn |
| Sep 24, 2016 | 2.00 Mn |
| Sep 26, 2015 | 5.19 Mn |
| Sep 27, 2014 | 6.70 Mn |
| Sep 28, 2013 | 4.46 Mn |
| Sep 29, 2012 | 4.70 Mn |
| Sep 24, 2011 | 5.59 Mn |
| Sep 25, 2010 | 5.66 Mn |
| Sep 26, 2009 | 5.58 Mn |
| Mar 28, 2009 | 2.55 Mn |
API Access
Birks Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=BGICF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();