Hi-Great Group Holding (HIGR) Inventory (2020 - 2026)
Hi-Great Group Holding (HIGR) posted Inventory of $14,913 for the quarter ended Jun 30, 2026, down 78.3% from $68,800 a year earlier and down 12.3% from the prior quarter.
Hi-Great Group Holding (HIGR) Inventory (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Hi-Great Group Holding's Inventory came in at $20,973, down 72.5% from the prior year.
- Annual Inventory shows a five-year compound annual growth rate of -15.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Hi-Great Group Holding's Inventory was $76,150 in the year ended Dec 31, 2024 (+40.8%), $54,090 in the year ended Dec 31, 2023 (-36.6%), $85,290 in the year ended Dec 31, 2022 (+37.2%) and $62,160 in the year ended Dec 31, 2021 (+30.2%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Inventory since the quarter ended Sep 30, 2020.
- On a year-over-year basis, Inventory has declined in each of the last three quarters, with an average decline of 9.3% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Mar 31, 2022, with growth of 167.8%; the weakest was the quarter ended Jun 30, 2026, with a decline of 78.3%.
- According to Business Quant data, Inventory for the three prior quarters was $17,013 (quarter ended Mar 31, 2026), $20,973 (quarter ended Dec 31, 2025) and $64,300 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 8.17 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.18 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.00 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.72 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 1.54 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 601.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 777.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 246.81 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 718.00 Mn |
| 10 | Hi-Great Group Holding | 1.02 Mn | 1.01 Mn | - | 14,913.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14,913.00 |
| Mar 31, 2026 | 17,013.00 |
| Dec 31, 2025 | 20,973.00 |
| Sep 30, 2025 | 64,300.00 |
| Jun 30, 2025 | 68,800.00 |
| Mar 31, 2025 | 70,870.00 |
| Dec 31, 2024 | 76,150.00 |
| Sep 30, 2024 | 41,520.00 |
| Jun 30, 2024 | 47,400.00 |
| Mar 31, 2024 | 51,480.00 |
| Dec 31, 2023 | 54,090.00 |
| Sep 30, 2023 | 55,920.00 |
| Jun 30, 2023 | 64,470.00 |
| Mar 31, 2023 | 78,210.00 |
| Dec 31, 2022 | 85,290.00 |
| Sep 30, 2022 | 40,800.00 |
| Jun 30, 2022 | 30,060.00 |
| Mar 31, 2022 | 44,340.00 |
| Dec 31, 2021 | 62,160.00 |
| Sep 30, 2021 | 34,020.00 |
Hi-Great Group Holding Inventory 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=inventory&ticker=HIGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=HIGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();