A.K.A. Brands Holding (AKA) Selling, General & Administrative (2020 - 2026)
A.K.A. Brands Holding's Selling, General & Administrative came in at $27.51 million for Q2 2026, unchanged from $27.52 million a year earlier and down 8.4% from the prior quarter.
A.K.A. Brands Holding (AKA) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, A.K.A. Brands Holding reported Selling, General & Administrative of $114.49 million, up 8.1% year-over-year; for FY2025, it was $110.16 million, up 8.8% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 31.4% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $101.26 million in FY2024 (+4.4%), $96.95 million in FY2023 (-5.6%), $102.7 million in FY2022 (+15.6%) and $88.82 million in FY2021 (+216.3%).
- The five-year range for quarterly Selling, General & Administrative is $22.27 million (Q4 2023) to $30.27 million (Q4 2025).
- Year-over-year, Selling, General & Administrative increased in six of the last eight quarters, with growth averaging 9.9%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2021 (growth of 295.5%), and the weakest in Q4 2023 (a decline of 14.6%).
- Business Quant data shows AKA's Selling, General & Administrative at $30.03 million (Q1 2026), $30.27 million (Q4 2025) and $26.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 415.03 Mn |
| 10 | A.K.A. Brands Holding | 118.96 Mn | 41.35 Mn | 97.84 Mn | 27.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.51 Mn |
| Mar 31, 2026 | 30.03 Mn |
| Dec 31, 2025 | 30.27 Mn |
| Sep 30, 2025 | 26.69 Mn |
| Jun 30, 2025 | 27.52 Mn |
| Mar 31, 2025 | 25.68 Mn |
| Dec 31, 2024 | 24.90 Mn |
| Sep 30, 2024 | 27.83 Mn |
| Jun 30, 2024 | 25.87 Mn |
| Mar 31, 2024 | 22.67 Mn |
| Dec 31, 2023 | 22.27 Mn |
| Sep 30, 2023 | 24.62 Mn |
| Jun 30, 2023 | 24.19 Mn |
| Mar 31, 2023 | 25.87 Mn |
| Dec 31, 2022 | 26.09 Mn |
| Sep 30, 2022 | 26.13 Mn |
| Jun 30, 2022 | 25.70 Mn |
| Mar 31, 2022 | 24.78 Mn |
| Dec 31, 2021 | 27.27 Mn |
| Sep 30, 2021 | 28.90 Mn |
A.K.A. Brands Holding 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=AKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "AKA", "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=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();