Brilliant Earth (BRLT) Inventory (2020 - 2026)
Brilliant Earth (BRLT) recorded Inventory of $53.32 million in Q2 2026, up 12.6% from $47.35 million a year earlier but down 2.0% from the prior quarter.
Brilliant Earth (BRLT) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Brilliant Earth reported Inventory of $53.24 million, up 39.0% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 31.5% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $38.29 million in FY2024 (+1.3%), $37.79 million in FY2023 (-3.9%), $39.33 million in FY2022 (+59.0%) and $24.74 million in FY2021 (+82.5%).
- Quarterly Inventory has ranged from $20.06 million in Q3 2021 to $54.42 million in Q1 2026 over the past five years.
- On a year-over-year basis, Inventory has increased for eight consecutive quarters, with growth averaging 18.3% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 101.1% in Q3 2022, against a decline of 7.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $54.42 million (Q1 2026), $53.24 million (Q4 2025) and $49.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Brilliant Earth | 139.50 Mn | -85.37 Mn | 66.64 Mn | 53.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.32 Mn |
| Mar 31, 2026 | 54.42 Mn |
| Dec 31, 2025 | 53.24 Mn |
| Sep 30, 2025 | 49.13 Mn |
| Jun 30, 2025 | 47.35 Mn |
| Mar 31, 2025 | 39.85 Mn |
| Dec 31, 2024 | 38.29 Mn |
| Sep 30, 2024 | 38.53 Mn |
| Jun 30, 2024 | 38.29 Mn |
| Mar 31, 2024 | 38.91 Mn |
| Dec 31, 2023 | 37.79 Mn |
| Sep 30, 2023 | 37.26 Mn |
| Jun 30, 2023 | 39.41 Mn |
| Mar 31, 2023 | 37.86 Mn |
| Dec 31, 2022 | 39.33 Mn |
| Sep 30, 2022 | 40.33 Mn |
| Jun 30, 2022 | 35.34 Mn |
| Mar 31, 2022 | 28.39 Mn |
| Dec 31, 2021 | 24.74 Mn |
| Sep 30, 2021 | 20.06 Mn |
Brilliant Earth Inventory 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=inventory&ticker=BRLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();