Hi-Great Group Holding (HIGR) Operating Leases (2020 - 2024)
Hi-Great Group Holding (HIGR) posted Operating Leases of $438.00 for the quarter ended Dec 31, 2024, down 97.9% from $21,231 a year earlier and down 94.1% from the prior quarter.
Hi-Great Group Holding (HIGR) Operating Leases (2020 - 2024) Analysis & Trends
Since the quarter ended Jun 30, 2020, Hi-Great Group Holding has reported Operating Leases for 19 quarters.
- Annual Operating Leases has declined for three consecutive years, with a four-year compound annual growth rate of -74.0% (years ended Dec 2020 to Dec 2024).
- In prior years, Hi-Great Group Holding's Operating Leases was $21,231 in the year ended Dec 31, 2023 (-49.7%), $42,250 in the year ended Dec 31, 2022 (-56.1%), $96,250 in the year ended Dec 31, 2021 (unchanged) and $96,250 in the year ended Dec 31, 2020.
- The figure for the quarter ended Dec 31, 2024 stands as the lowest quarterly Operating Leases in data going back to the quarter ended Jun 30, 2020.
- On a year-over-year basis, Operating Leases has declined in each of the last 11 quarters, with an average decline of 65.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Jun 30, 2021, with growth of 44.5%; the weakest was the quarter ended Dec 31, 2024, with a decline of 97.9%.
- According to Business Quant data, Operating Leases for the three prior quarters was $7,369 (quarter ended Sep 30, 2024), $7,369 (quarter ended Jun 30, 2024) and $21,231 (quarter ended Mar 31, 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Hi-Great Group Holding | 1.02 Mn | 1.01 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 438.00 |
| Sep 30, 2024 | 7,369.00 |
| Jun 30, 2024 | 7,369.00 |
| Mar 31, 2024 | 21,231.00 |
| Dec 31, 2023 | 21,231.00 |
| Sep 30, 2023 | 30,000.00 |
| Jun 30, 2023 | 30,000.00 |
| Mar 31, 2023 | 30,000.00 |
| Dec 31, 2022 | 42,250.00 |
| Sep 30, 2022 | 66,250.00 |
| Jun 30, 2022 | 96,250.00 |
| Mar 31, 2022 | 96,250.00 |
| Dec 31, 2021 | 96,250.00 |
| Sep 30, 2021 | 103,750.00 |
| Jun 30, 2021 | 111,250.00 |
| Mar 31, 2021 | 93,508.00 |
| Dec 31, 2020 | 96,250.00 |
| Sep 30, 2020 | 76,993.00 |
| Jun 30, 2020 | 76,992.00 |
Hi-Great Group Holding Operating Leases 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-leases&ticker=HIGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "HIGR", "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-leases&ticker=HIGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();