Grove Collaborative Holdings (GROV) Long-Term Debt Repayments (2021 - 2024)
Grove Collaborative Holdings' Long-Term Debt Repayments came in at $42 million for Q3 2024.
Analysis
Grove Collaborative Holdings (GROV) Long-Term Debt Repayments (2021 - 2024) Analysis & Trends
For FY2023, Grove Collaborative Holdings' Long-Term Debt Repayments was $575,000, down 88.9% from FY2022.
- Long-Term Debt Repayments has declined in each of the last three years, with a three-year compound annual growth rate of -74.1% (FY2020 to FY2023).
- Going back by year, Long-Term Debt Repayments was $5.18 million in FY2022 (-76.4%), $21.93 million in FY2021 (-33.8%) and $33.12 million in FY2020.
- The Q3 2024 figure represents the highest quarterly Long-Term Debt Repayments in data going back to Q3 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 387.36 Bn | 343.12 Bn | 10.28 Bn | 1.03 Bn |
| 2 | Colgate Palmolive | 77.23 Bn | 71.96 Bn | 3.30 Bn | 4.00 Mn |
| 3 | Estee Lauder Companies | 38.20 Bn | 26.28 Bn | 2.74 Bn | - |
| 4 | Kenvue | 37.59 Bn | 33.21 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 36.66 Bn | 33.86 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 25.60 Bn | 24.13 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.61 Bn | 8.89 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.67 Bn | 5.64 Bn | 398.84 Mn | 7.50 Mn |
| 9 | Reynolds Consumer Products | 4.90 Bn | 4.56 Bn | 245.00 Mn | - |
| 10 | Grove Collaborative Holdings | 41.16 Mn | 8.22 Mn | 19.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 42.00 Mn |
| Jun 30, 2023 | 340,000.00 |
| Mar 31, 2023 | 235,000.00 |
| Dec 31, 2022 | 4.32 Mn |
| Sep 30, 2022 | 303,000.00 |
| Jun 30, 2022 | 287,000.00 |
| Mar 31, 2022 | 275,000.00 |
| Dec 31, 2021 | 409,000.00 |
| Sep 30, 2021 | 358,000.00 |
API Access
Grove Collaborative Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GROV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GROV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();