Brilliant Earth (BRLT) Times Interest Earned (2020 - 2025)
Brilliant Earth's Times Interest Earned was -2.36 in FY2025, compared with 0.67 in FY2024.
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Analysis
Brilliant Earth (BRLT) Times Interest Earned (2020 - 2025) Analysis & Trends
From FY2019 onward, Brilliant Earth has reported Times Interest Earned for 7 years.
- The FY2025 figure marks the lowest annual Times Interest Earned since FY2019.
- Per Business Quant data, Times Interest Earned in earlier years was 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) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 26.34 |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 9.47 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.54 |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 4.72 |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 14.35 |
| 10 | Brilliant Earth | 135.42 Mn | -89.45 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 Times Interest Earned 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=times-interest-earned&ticker=BRLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();