Brilliant Earth (BRLT) Total Liabilities (2020 - 2026)
Brilliant Earth's Total Liabilities was $123.43 million in Q2 2026, down 22.0% from $158.19 million a year earlier but up 10.1% from the prior quarter.
Brilliant Earth (BRLT) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Brilliant Earth came in at $121.27 million, down 29.4% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -6.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $171.86 million in FY2024 (-2.4%), $176.13 million in FY2023 (+4.0%), $169.43 million in FY2022 (+25.6%) and $134.89 million in FY2021 (-20.9%).
- Quarterly Total Liabilities has moved between $112.09 million (Q1 2026) and $179.7 million (Q2 2023) over five years.
- Compared with a year earlier, Total Liabilities has declined for ten straight quarters, with an average decline of 15.4% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 29.1%); the worst was Q1 2026 (a decline of 32.8%).
- Per Business Quant data, BRLT's Total Liabilities in the three quarters before Q2 2026 was $112.09 million (Q1 2026), $121.27 million (Q4 2025) and $123.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 2.97 Bn |
| 10 | Brilliant Earth | 139.50 Mn | -85.37 Mn | 66.64 Mn | 123.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.43 Mn |
| Mar 31, 2026 | 112.09 Mn |
| Dec 31, 2025 | 121.27 Mn |
| Sep 30, 2025 | 123.91 Mn |
| Jun 30, 2025 | 158.19 Mn |
| Mar 31, 2025 | 166.68 Mn |
| Dec 31, 2024 | 171.86 Mn |
| Sep 30, 2024 | 168.89 Mn |
| Jun 30, 2024 | 169.55 Mn |
| Mar 31, 2024 | 168.34 Mn |
| Dec 31, 2023 | 176.13 Mn |
| Sep 30, 2023 | 172.25 Mn |
| Jun 30, 2023 | 179.70 Mn |
| Mar 31, 2023 | 168.87 Mn |
| Dec 31, 2022 | 169.43 Mn |
| Sep 30, 2022 | 167.80 Mn |
| Jun 30, 2022 | 163.81 Mn |
| Mar 31, 2022 | 157.59 Mn |
| Dec 31, 2021 | 134.89 Mn |
| Sep 30, 2021 | 129.95 Mn |
Brilliant Earth Total Liabilities 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=total-liabilities&ticker=BRLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();