Honest Company (HNST) Operating Expenses (2020 - 2026)
Honest Company (HNST) reported Operating Expenses of $30.78 million for Q2 2026, down 11.7% from $34.86 million a year earlier and down 9.3% from the prior quarter.
Honest Company (HNST) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Honest Company's Operating Expenses came in at $136.9 million, down 7.6% year-over-year; for FY2025, it was $142.22 million, down 5.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $150.99 million in FY2024 (+8.3%), $139.44 million in FY2023 (-1.9%), $142.1 million in FY2022 (-2.7%) and $146 million in FY2021 (+20.2%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses has now declined in each of the last five quarters, with growth averaging 1.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 36.8%); the low point was Q2 2022 (a decline of 26.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $33.93 million (Q1 2026), $38.01 million (Q4 2025) and $34.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 2.41 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 267.30 Mn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 319.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Honest Company | 557.37 Mn | 168.56 Mn | 38.07 Mn | 36.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.91 Mn |
| Jun 30, 2026 | 30.78 Mn |
| Mar 31, 2026 | 33.93 Mn |
| Dec 31, 2025 | 38.01 Mn |
| Sep 30, 2025 | 34.18 Mn |
| Jun 30, 2025 | 34.86 Mn |
| Mar 31, 2025 | 35.16 Mn |
| Dec 31, 2024 | 39.80 Mn |
| Sep 30, 2024 | 38.34 Mn |
| Jun 30, 2024 | 39.66 Mn |
| Mar 31, 2024 | 33.20 Mn |
| Dec 31, 2023 | 29.10 Mn |
| Sep 30, 2023 | 35.20 Mn |
| Jun 30, 2023 | 36.29 Mn |
| Mar 31, 2023 | 38.86 Mn |
| Dec 31, 2022 | 35.26 Mn |
| Sep 30, 2022 | 37.36 Mn |
| Jun 30, 2022 | 34.30 Mn |
| Mar 31, 2022 | 35.17 Mn |
| Dec 31, 2021 | 32.69 Mn |
Honest Company Operating Expenses 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=operating-expenses&ticker=HNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();