Brilliant Earth (BRLT) Interest Coverage Ratio (2020 - 2025)
Brilliant Earth's (BRLT) Interest Coverage Ratio came in at -2.36 for FY2025, compared with 0.67 in FY2024.
Analysis
Brilliant Earth (BRLT) Interest Coverage Ratio (2020 - 2025) Analysis & Trends
Since FY2019, Brilliant Earth has reported Interest Coverage Ratio for 7 years.
- The FY2025 figure stands as the lowest annual Interest Coverage Ratio since FY2019.
- Business Quant data shows BRLT's Interest Coverage Ratio at 0.67 in FY2024 (-23.8%), 0.87 in FY2023 (-82.5%), 5.01 in FY2022 (-5.3%) and 5.29 in FY2021 (-1.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 26.34 |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 9.47 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.54 |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 4.72 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 14.35 |
| 10 | Brilliant Earth | 139.50 Mn | -85.37 Mn | 66.64 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -2.28 |
| Jun 30, 2025 | -1.36 |
| Mar 31, 2025 | -3.16 |
| Dec 31, 2024 | 2.00 |
| Sep 30, 2024 | -0.81 |
| Jun 30, 2024 | 0.88 |
| Mar 31, 2024 | 0.72 |
| Dec 31, 2023 | 0.91 |
| Sep 30, 2023 | 1.52 |
| Jun 30, 2023 | 1.06 |
| Mar 31, 2023 | -0.07 |
| Dec 31, 2022 | 6.31 |
| Sep 30, 2022 | 8.10 |
| Jun 30, 2022 | 4.95 |
| Mar 31, 2022 | 2.98 |
| Dec 31, 2021 | 7.19 |
| Sep 30, 2021 | 5.16 |
| Jun 30, 2021 | 6.34 |
| Mar 31, 2021 | 2.57 |
| Dec 31, 2020 | 11.00 |
API Access
Brilliant Earth Interest Coverage Ratio 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=interest-coverage-ratio&ticker=BRLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "ticker": "BRLT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-coverage-ratio&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();