Grove Collaborative Holdings (GROV) Operating Expenses (2021 - 2026)
Grove Collaborative Holdings (GROV) posted Operating Expenses of $19.13 million for Q2 2026, down 24.0% from $25.16 million a year earlier and down 2.4% from the prior quarter.
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Analysis
Grove Collaborative Holdings (GROV) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Grove Collaborative Holdings was $84.68 million, down 22.9% year-over-year; for FY2025, it was $94.88 million, down 22.0% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- In prior years, Grove Collaborative Holdings' Operating Expenses was $121.63 million in FY2024 (-19.6%), $151.33 million in FY2023 (-34.0%), $229.37 million in FY2022 and $3.57 million in FY2021 (-98.1%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q1 2022.
- On a year-over-year basis, Operating Expenses has declined in each of the last 13 quarters, with an average decline of 19.3% over the last eight quarters.
- Across the past five years, year-over-year decline in Operating Expenses ran from 11.3% in Q3 2024 to 38.6% in Q2 2023.
- According to Business Quant data, Operating Expenses for the three prior quarters was $19.59 million (Q1 2026), $23.05 million (Q4 2025) and $22.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 1.60 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 2.78 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Grove Collaborative Holdings | 45.69 Mn | 12.75 Mn | 19.59 Mn | 19.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.13 Mn |
| Mar 31, 2026 | 19.59 Mn |
| Dec 31, 2025 | 23.05 Mn |
| Sep 30, 2025 | 22.90 Mn |
| Jun 30, 2025 | 25.16 Mn |
| Mar 31, 2025 | 23.77 Mn |
| Dec 31, 2024 | 31.32 Mn |
| Sep 30, 2024 | 29.53 Mn |
| Jun 30, 2024 | 32.56 Mn |
| Mar 31, 2024 | 28.22 Mn |
| Dec 31, 2023 | 36.61 Mn |
| Sep 30, 2023 | 33.28 Mn |
| Jun 30, 2023 | 39.21 Mn |
| Mar 31, 2023 | 42.24 Mn |
| Dec 31, 2022 | 56.28 Mn |
| Sep 30, 2022 | 52.06 Mn |
| Jun 30, 2022 | 63.82 Mn |
| Mar 31, 2022 | 1.01 Mn |
| Dec 31, 2021 | 2.09 Mn |
| Sep 30, 2021 | 1.21 Mn |
API Access
Grove Collaborative Holdings 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=GROV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GROV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();