Honest Company (HNST) Research & Development (2020 - 2026)
Honest Company (HNST) recorded Research & Development of $1.72 million in Q2 2026, down 12.1% from $1.96 million a year earlier and down 7.5% from the prior quarter.
Honest Company (HNST) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Honest Company's Research & Development came in at $7.12 million as of Jun 30, 2026, down 2.1% year-over-year; for FY2025, it came in at $7.35 million, up 7.2% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $6.85 million in FY2024 (+10.3%), $6.21 million in FY2023 (-11.2%), $7 million in FY2022 (-8.9%) and $7.68 million in FY2021 (+34.6%).
- Quarterly Research & Development has ranged from $1.35 million in Q4 2022 to $2.1 million in Q1 2022 over the past five years.
- On a year-over-year basis, Research & Development rose in six of the last eight quarters, with growth averaging 4.5%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 46.8% in Q3 2021, against a decline of 30.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.86 million (Q1 2026), $1.83 million (Q4 2025) and $1.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | - |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | - |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | - |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 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 | - |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 29.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | - |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | - |
| 10 | Honest Company | 557.37 Mn | 168.56 Mn | 38.07 Mn | 2.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.15 Mn |
| Jun 30, 2026 | 1.72 Mn |
| Mar 31, 2026 | 1.86 Mn |
| Dec 31, 2025 | 1.83 Mn |
| Sep 30, 2025 | 1.70 Mn |
| Jun 30, 2025 | 1.96 Mn |
| Mar 31, 2025 | 1.85 Mn |
| Dec 31, 2024 | 1.71 Mn |
| Sep 30, 2024 | 1.74 Mn |
| Jun 30, 2024 | 1.71 Mn |
| Mar 31, 2024 | 1.68 Mn |
| Dec 31, 2023 | 1.58 Mn |
| Sep 30, 2023 | 1.58 Mn |
| Jun 30, 2023 | 1.60 Mn |
| Mar 31, 2023 | 1.46 Mn |
| Dec 31, 2022 | 1.35 Mn |
| Sep 30, 2022 | 1.73 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | 2.10 Mn |
| Dec 31, 2021 | 1.60 Mn |
Honest Company Research & Development 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=research-and-development&ticker=HNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=HNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();