Figs (FIGS) Selling, General & Administrative (2020 - 2026)
Figs (FIGS) reported Selling, General & Administrative of $40.38 million for Q2 2026, up 16.2% from $34.75 million a year earlier and up 6.6% from the prior quarter.
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Analysis
Figs (FIGS) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Figs' Selling, General & Administrative came in at $152.42 million, up 9.1% year-over-year; for FY2025, it came in at $142.74 million, down 0.1% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 28.0% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $142.88 million in FY2024 (+1.6%), $140.68 million in FY2023 (+16.6%), $120.65 million in FY2022 (-19.4%) and $149.6 million in FY2021 (+260.2%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q2 2021.
- Year over year, Selling, General & Administrative has now increased in each of the last four quarters, with growth averaging 3.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 238.2%); the low point was Q2 2022 (a decline of 59.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.88 million (Q1 2026), $37.03 million (Q4 2025) and $37.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 1.08 Bn |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn | 1.12 Bn |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - | - |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn | 835.90 Mn |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn | 193.84 Mn |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn | 1.00 Bn |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Figs | 3.23 Bn | 2.11 Bn | 147.86 Mn | 40.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.38 Mn |
| Mar 31, 2026 | 37.88 Mn |
| Dec 31, 2025 | 37.03 Mn |
| Sep 30, 2025 | 37.12 Mn |
| Jun 30, 2025 | 34.75 Mn |
| Mar 31, 2025 | 33.84 Mn |
| Dec 31, 2024 | 35.59 Mn |
| Sep 30, 2024 | 35.53 Mn |
| Jun 30, 2024 | 35.77 Mn |
| Mar 31, 2024 | 35.99 Mn |
| Dec 31, 2023 | 35.45 Mn |
| Sep 30, 2023 | 36.23 Mn |
| Jun 30, 2023 | 34.84 Mn |
| Mar 31, 2023 | 34.16 Mn |
| Dec 31, 2022 | 36.51 Mn |
| Sep 30, 2022 | 27.65 Mn |
| Jun 30, 2022 | 29.27 Mn |
| Mar 31, 2022 | 27.22 Mn |
| Dec 31, 2021 | 31.32 Mn |
| Sep 30, 2021 | 28.43 Mn |
API Access
Figs 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=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "FIGS", "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=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();