Grove Collaborative Holdings (GROV) Total Liabilities (2021 - 2026)
Grove Collaborative Holdings (GROV) recorded Total Liabilities of $68.32 million in Q2 2026, down 4.9% from $71.83 million a year earlier and down 0.2% from the prior quarter.
Grove Collaborative Holdings (GROV) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Grove Collaborative Holdings reported Total Liabilities of $70.09 million, down 4.7% from FY2024.
- Annual Total Liabilities has declined for four straight years, with a four-year compound annual growth rate of -42.4% (FY2021 to FY2025).
- Across earlier years, Total Liabilities came in at $73.56 million in FY2024 (-48.4%), $142.62 million in FY2023 (-3.3%), $147.51 million in FY2022 (-76.9%) and $638.75 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Total Liabilities in data going back to Q1 2021.
- On a year-over-year basis, Total Liabilities has declined for 17 consecutive quarters, with an average decline of 26.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 24.4% in Q1 2022, against a decline of 84.7% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $68.46 million (Q1 2026), $70.09 million (Q4 2025) and $70.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 16.18 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 15.96 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Grove Collaborative Holdings | 45.69 Mn | 12.75 Mn | 19.59 Mn | 68.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.32 Mn |
| Mar 31, 2026 | 68.46 Mn |
| Dec 31, 2025 | 70.09 Mn |
| Sep 30, 2025 | 70.80 Mn |
| Jun 30, 2025 | 71.83 Mn |
| Mar 31, 2025 | 71.49 Mn |
| Dec 31, 2024 | 73.56 Mn |
| Sep 30, 2024 | 103.67 Mn |
| Jun 30, 2024 | 131.09 Mn |
| Mar 31, 2024 | 130.35 Mn |
| Dec 31, 2023 | 142.62 Mn |
| Sep 30, 2023 | 146.87 Mn |
| Jun 30, 2023 | 136.73 Mn |
| Mar 31, 2023 | 137.88 Mn |
| Dec 31, 2022 | 147.51 Mn |
| Sep 30, 2022 | 178.16 Mn |
| Jun 30, 2022 | 238.52 Mn |
| Mar 31, 2022 | 902.13 Mn |
| Dec 31, 2021 | 638.75 Mn |
| Sep 30, 2021 | 832.23 Mn |
Grove Collaborative Holdings 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=GROV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GROV", "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=GROV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();