Honest Company (HNST) Total Liabilities (2020 - 2026)
Honest Company (HNST) posted Total Liabilities of $53.1 million for Q2 2026, down 14.3% from $62 million a year earlier but up 15.9% from the prior quarter.
Honest Company (HNST) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Honest Company's Total Liabilities came in at $55.74 million, down 23.7% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -34.9% (FY2020 to FY2025).
- In prior years, Honest Company's Total Liabilities was $73.09 million in FY2024 (-6.9%), $78.48 million in FY2023 (-16.7%), $94.24 million in FY2022 (+0.8%) and $93.49 million in FY2021 (-80.4%).
- Quarterly Total Liabilities has run from a low of $45.83 million in Q1 2026 to a high of $96.64 million in Q2 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last five quarters, with an average decline of 14.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 15.9%; the weakest was Q1 2022, with a decline of 81.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $45.83 million (Q1 2026), $55.74 million (Q4 2025) and $51.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 384.50 Bn | 340.26 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 76.14 Bn | 70.87 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 37.87 Bn | 25.95 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 36.99 Bn | 32.60 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 35.91 Bn | 33.10 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 25.19 Bn | 23.72 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 10.45 Bn | 8.73 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.69 Bn | 5.66 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.83 Bn | 4.49 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Honest Company | 545.37 Mn | 188.07 Mn | 40.36 Mn | 53.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.10 Mn |
| Mar 31, 2026 | 45.83 Mn |
| Dec 31, 2025 | 55.74 Mn |
| Sep 30, 2025 | 51.35 Mn |
| Jun 30, 2025 | 62.00 Mn |
| Mar 31, 2025 | 84.95 Mn |
| Dec 31, 2024 | 73.09 Mn |
| Sep 30, 2024 | 75.34 Mn |
| Jun 30, 2024 | 70.47 Mn |
| Mar 31, 2024 | 73.30 Mn |
| Dec 31, 2023 | 78.48 Mn |
| Sep 30, 2023 | 75.53 Mn |
| Jun 30, 2023 | 68.11 Mn |
| Mar 31, 2023 | 82.16 Mn |
| Dec 31, 2022 | 94.24 Mn |
| Sep 30, 2022 | 93.28 Mn |
| Jun 30, 2022 | 96.64 Mn |
| Mar 31, 2022 | 88.04 Mn |
| Dec 31, 2021 | 93.49 Mn |
| Sep 30, 2021 | 94.88 Mn |
Honest Company Total Liabilities 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=total-liabilities&ticker=HNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();