Brilliant Earth (BRLT) Depreciation & Amortization (CF) (2020 - 2026)
Brilliant Earth's Depreciation & Amortization (CF) came in at $1.65 million for Q2 2026, up 7.1% from $1.54 million a year earlier and up 2.4% from the prior quarter.
Brilliant Earth (BRLT) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Brilliant Earth reported Depreciation & Amortization (CF) of $6.35 million, up 8.7% year-over-year; for FY2025, it came in at $6.11 million, up 15.0% from FY2024.
- Depreciation & Amortization (CF) has increased in each of the last six years, with a five-year compound annual growth rate of 56.7% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $5.31 million in FY2024 (+26.5%), $4.2 million in FY2023 (+118.5%), $1.92 million in FY2022 (+113.6%) and $900,000 in FY2021 (+39.3%).
- The Q2 2026 figure represents the highest quarterly Depreciation & Amortization (CF) in data going back to Q4 2020.
- Year-over-year, Depreciation & Amortization (CF) has increased for 19 consecutive quarters, with growth averaging 15.1% over the last eight quarters.
- The year-over-year growth in Depreciation & Amortization (CF) has ranged between 4.2% (Q4 2025) and 172.5% (Q1 2023) over the last five years.
- Business Quant data shows BRLT's Depreciation & Amortization (CF) at $1.62 million (Q1 2026), $1.53 million (Q4 2025) and $1.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 193.00 Mn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 40.00 Mn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 60.40 Mn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 18.32 Mn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 142.33 Mn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 54.80 Mn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 58.36 Mn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 20.59 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 40.22 Mn |
| 10 | Brilliant Earth | 132.77 Mn | -94.38 Mn | 67.37 Mn | 1.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.71 Mn |
| Jun 30, 2026 | 1.65 Mn |
| Mar 31, 2026 | 1.62 Mn |
| Dec 31, 2025 | 1.53 Mn |
| Sep 30, 2025 | 1.55 Mn |
| Jun 30, 2025 | 1.54 Mn |
| Mar 31, 2025 | 1.49 Mn |
| Dec 31, 2024 | 1.47 Mn |
| Sep 30, 2024 | 1.34 Mn |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 1.20 Mn |
| Dec 31, 2023 | 1.20 Mn |
| Sep 30, 2023 | 1.11 Mn |
| Jun 30, 2023 | 940,000.00 |
| Mar 31, 2023 | 951,000.00 |
| Dec 31, 2022 | 674,000.00 |
| Sep 30, 2022 | 501,000.00 |
| Jun 30, 2022 | 398,000.00 |
| Mar 31, 2022 | 349,000.00 |
| Dec 31, 2021 | 364,000.00 |
Brilliant Earth Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=BRLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();