Honest Company (HNST) Selling, General & Administrative (2020 - 2026)
Honest Company (HNST) reported Selling, General & Administrative of $14.97 million for Q2 2026, down 26.5% from $20.35 million a year earlier and down 14.3% from the prior quarter.
Honest Company (HNST) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Honest Company's Selling, General & Administrative came in at $70.55 million, down 23.0% year-over-year; for FY2025, it came in at $79.51 million, down 19.7% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $99.04 million in FY2024 (+4.7%), $94.58 million in FY2023 (+8.3%), $87.32 million in FY2022 (+3.9%) and $84.06 million in FY2021 (+18.0%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q2 2020.
- Year over year, Selling, General & Administrative has now declined in each of the last six quarters, with an average decline of 10.9% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2024 (growth of 36.7%); the low point was Q2 2022 (a decline of 33.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.47 million (Q1 2026), $20.44 million (Q4 2025) and $17.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 2.48 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.54 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Honest Company | 591.66 Mn | 234.36 Mn | 40.36 Mn | 14.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.97 Mn |
| Mar 31, 2026 | 17.47 Mn |
| Dec 31, 2025 | 20.44 Mn |
| Sep 30, 2025 | 17.68 Mn |
| Jun 30, 2025 | 20.35 Mn |
| Mar 31, 2025 | 21.04 Mn |
| Dec 31, 2024 | 26.77 Mn |
| Sep 30, 2024 | 23.43 Mn |
| Jun 30, 2024 | 26.43 Mn |
| Mar 31, 2024 | 22.42 Mn |
| Dec 31, 2023 | 19.59 Mn |
| Sep 30, 2023 | 24.15 Mn |
| Jun 30, 2023 | 25.03 Mn |
| Mar 31, 2023 | 25.82 Mn |
| Dec 31, 2022 | 24.25 Mn |
| Sep 30, 2022 | 23.49 Mn |
| Jun 30, 2022 | 19.97 Mn |
| Mar 31, 2022 | 19.61 Mn |
| Dec 31, 2021 | 18.70 Mn |
| Sep 30, 2021 | 18.57 Mn |
Honest Company 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=HNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "HNST", "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=HNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();