Brilliant Earth (BRLT) Selling, General & Administrative (2020 - 2026)
Brilliant Earth (BRLT) recorded Selling, General & Administrative of $39.96 million in Q2 2026, up 3.9% from $38.45 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Brilliant Earth (BRLT) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Brilliant Earth's Selling, General & Administrative came in at $156.26 million as of Jun 30, 2026, up 6.4% year-over-year; for FY2025, it was $150.92 million, up 5.7% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $142.71 million in FY2024 (+7.2%), $133.18 million in FY2023 (-36.9%), $210.96 million in FY2022 (+43.2%) and $147.29 million in FY2021 (+71.8%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q3 2023.
- On a year-over-year basis, Selling, General & Administrative has increased for six consecutive quarters, with an average decline of 1.1% over the last seven quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 82.9% in Q4 2021, against a decline of 45.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.43 million (Q1 2026), $38.93 million (Q4 2025) and $37.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Brilliant Earth | 141.53 Mn | -83.34 Mn | 66.64 Mn | 39.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.96 Mn |
| Mar 31, 2026 | 39.43 Mn |
| Dec 31, 2025 | 38.93 Mn |
| Sep 30, 2025 | 37.94 Mn |
| Jun 30, 2025 | 38.45 Mn |
| Mar 31, 2025 | 35.60 Mn |
| Dec 31, 2024 | 37.62 Mn |
| Sep 30, 2024 | 35.16 Mn |
| Jun 30, 2024 | 35.60 Mn |
| Mar 31, 2024 | 34.33 Mn |
| Dec 31, 2023 | -47.53 Mn |
| Sep 30, 2023 | 64.81 Mn |
| Jun 30, 2023 | 62.13 Mn |
| Mar 31, 2023 | 53.77 Mn |
| Dec 31, 2022 | 59.39 Mn |
| Sep 30, 2022 | 54.62 Mn |
| Jun 30, 2022 | 52.15 Mn |
| Mar 31, 2022 | 44.82 Mn |
| Dec 31, 2021 | 49.33 Mn |
| Sep 30, 2021 | 38.15 Mn |
API Access
Brilliant Earth Selling, General & Administrative 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=selling-general-and-administrative&ticker=BRLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();