Brilliant Earth (BRLT) Other Operating Expenses (2024 - 2026)
Brilliant Earth's Other Operating Expenses came in at $26.24 million for Q2 2026, down 0.1% from $26.27 million a year earlier but up 11.5% from the prior quarter.
Brilliant Earth (BRLT) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Brilliant Earth reported Other Operating Expenses of $106.49 million, down 0.6% year-over-year; for FY2025, it was $105.97 million, down 2.2% from FY2024.
- Going back by year, Other Operating Expenses was $108.34 million in FY2024 (-9.2%) and $119.34 million in FY2023.
- The five-year range for quarterly Other Operating Expenses is $22.96 million (Q1 2025) to $31.22 million (Q4 2024).
- Year-over-year, Other Operating Expenses increased in 1 of the last six quarters, with an average decline of 1.0%.
- Business Quant data shows BRLT's Other Operating Expenses at $23.52 million (Q1 2026), $30.6 million (Q4 2025) and $26.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn |
| 10 | Brilliant Earth | 25.01 Mn | -261.02 Mn | 66.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.24 Mn |
| Mar 31, 2026 | 23.52 Mn |
| Dec 31, 2025 | 30.60 Mn |
| Sep 30, 2025 | 26.13 Mn |
| Jun 30, 2025 | 26.27 Mn |
| Mar 31, 2025 | 22.96 Mn |
| Dec 31, 2024 | 31.22 Mn |
| Sep 30, 2024 | 26.68 Mn |
| Jun 30, 2024 | 27.35 Mn |
| Mar 31, 2024 | 23.10 Mn |
Brilliant Earth Other Operating 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=other-operating-expenses&ticker=BRLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();