Brilliant Earth (BRLT) Revenue (2020 - 2026)
Brilliant Earth (BRLT) posted Revenue of $115.11 million for Q2 2026, up 5.7% from $108.94 million a year earlier and up 15.7% from the prior quarter.
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Analysis
Brilliant Earth (BRLT) Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Brilliant Earth was $449.28 million, up 6.4% year-over-year; for FY2025, it came in at $437.48 million, up 3.6% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In prior years, Brilliant Earth's Revenue was $422.16 million in FY2024 (-5.4%), $446.38 million in FY2023 (+1.5%), $439.88 million in FY2022 (+15.7%) and $380.19 million in FY2021 (+51.0%).
- Quarterly Revenue has run from a low of $93.88 million in Q1 2025 to a high of $124.41 million in Q4 2025 over five years.
- On a year-over-year basis, Revenue has increased in each of the last five quarters, with growth averaging 1.2% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2022, with growth of 41.5%; the weakest was Q3 2024, with a decline of 12.5%.
- According to Business Quant data, Revenue for the three prior quarters was $99.5 million (Q1 2026), $124.41 million (Q4 2025) and $110.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Brilliant Earth | 139.50 Mn | -85.37 Mn | 66.64 Mn | 115.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.11 Mn |
| Mar 31, 2026 | 99.50 Mn |
| Dec 31, 2025 | 124.41 Mn |
| Sep 30, 2025 | 110.25 Mn |
| Jun 30, 2025 | 108.94 Mn |
| Mar 31, 2025 | 93.88 Mn |
| Dec 31, 2024 | 119.53 Mn |
| Sep 30, 2024 | 99.87 Mn |
| Jun 30, 2024 | 105.43 Mn |
| Mar 31, 2024 | 97.34 Mn |
| Dec 31, 2023 | 124.35 Mn |
| Sep 30, 2023 | 114.15 Mn |
| Jun 30, 2023 | 110.18 Mn |
| Mar 31, 2023 | 97.70 Mn |
| Dec 31, 2022 | 119.63 Mn |
| Sep 30, 2022 | 111.41 Mn |
| Jun 30, 2022 | 108.81 Mn |
| Mar 31, 2022 | 100.04 Mn |
| Dec 31, 2021 | 121.91 Mn |
| Sep 30, 2021 | 95.24 Mn |
API Access
Brilliant Earth Revenue 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=revenue&ticker=BRLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();