Brilliant Earth (BRLT) Cost of Revenue (2020 - 2026)
Brilliant Earth's Cost of Revenue was $48.47 million in Q2 2026, up 6.7% from $45.43 million a year earlier and up 6.7% from the prior quarter.
Brilliant Earth (BRLT) Cost of Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Brilliant Earth's Cost of Revenue was $195.61 million through Jun 30, 2026, up 14.0% year-over-year; for FY2025, it was $185.98 million, up 10.9% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $167.76 million in FY2024 (-11.4%), $189.38 million in FY2023 (-7.9%), $205.59 million in FY2022 (+6.7%) and $192.77 million in FY2021 (+38.2%).
- Quarterly Cost of Revenue has moved between $38.84 million (Q1 2025) and $59.62 million (Q4 2021) over five years.
- Compared with a year earlier, Cost of Revenue has increased for five straight quarters, with growth averaging 5.4% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2022 (growth of 30.2%); the worst was Q3 2024 (a decline of 17.4%).
- Per Business Quant data, BRLT's Cost of Revenue in the three quarters before Q2 2026 was $45.44 million (Q1 2026), $54.9 million (Q4 2025) and $46.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 582.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.12 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 342.46 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 478.76 Mn |
| 10 | Brilliant Earth | 141.53 Mn | -83.34 Mn | 66.64 Mn | 48.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.47 Mn |
| Mar 31, 2026 | 45.44 Mn |
| Dec 31, 2025 | 54.90 Mn |
| Sep 30, 2025 | 46.80 Mn |
| Jun 30, 2025 | 45.43 Mn |
| Mar 31, 2025 | 38.84 Mn |
| Dec 31, 2024 | 48.28 Mn |
| Sep 30, 2024 | 39.10 Mn |
| Jun 30, 2024 | 41.35 Mn |
| Mar 31, 2024 | 39.03 Mn |
| Dec 31, 2023 | 51.34 Mn |
| Sep 30, 2023 | 47.33 Mn |
| Jun 30, 2023 | 46.70 Mn |
| Mar 31, 2023 | 44.02 Mn |
| Dec 31, 2022 | 54.19 Mn |
| Sep 30, 2022 | 50.49 Mn |
| Jun 30, 2022 | 50.99 Mn |
| Mar 31, 2022 | 49.92 Mn |
| Dec 31, 2021 | 59.62 Mn |
| Sep 30, 2021 | 47.22 Mn |
Brilliant Earth Cost of 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=cost-of-revenue&ticker=BRLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();