Brilliant Earth (BRLT) Property, Plant & Equipment (Net) (2020 - 2026)
Brilliant Earth (BRLT) recorded Property, Plant & Equipment (Net) of $18.1 million in Q2 2026, down 11.8% from $20.53 million a year earlier and down 3.1% from the prior quarter.
Brilliant Earth (BRLT) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Brilliant Earth reported Property, Plant & Equipment (Net) of $19.62 million, down 9.3% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 58.1% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $21.63 million in FY2024 (-1.9%), $22.05 million in FY2023 (+33.2%), $16.55 million in FY2022 (+145.9%) and $6.73 million in FY2021 (+239.0%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q4 2022.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for nine consecutive quarters, with an average decline of 6.3% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 239.0% in Q4 2021, against a decline of 12.2% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.69 million (Q1 2026), $19.62 million (Q4 2025) and $19.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | Brilliant Earth | 141.53 Mn | -83.34 Mn | 66.64 Mn | 18.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.10 Mn |
| Mar 31, 2026 | 18.69 Mn |
| Dec 31, 2025 | 19.62 Mn |
| Sep 30, 2025 | 19.94 Mn |
| Jun 30, 2025 | 20.53 Mn |
| Mar 31, 2025 | 21.29 Mn |
| Dec 31, 2024 | 21.63 Mn |
| Sep 30, 2024 | 21.77 Mn |
| Jun 30, 2024 | 20.95 Mn |
| Mar 31, 2024 | 21.68 Mn |
| Dec 31, 2023 | 22.05 Mn |
| Sep 30, 2023 | 22.40 Mn |
| Jun 30, 2023 | 22.20 Mn |
| Mar 31, 2023 | 20.25 Mn |
| Dec 31, 2022 | 16.55 Mn |
| Sep 30, 2022 | 14.56 Mn |
| Jun 30, 2022 | 11.27 Mn |
| Mar 31, 2022 | 8.73 Mn |
| Dec 31, 2021 | 6.73 Mn |
| Sep 30, 2021 | 5.98 Mn |
Brilliant Earth Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BRLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();