Hi-Great Group Holding (HIGR) Accumulated Expenses (2020 - 2026)
Hi-Great Group Holding's Accumulated Expenses came in at $13,936 for the quarter ended Jun 30, 2026, up 29.6% from $10,750 a year earlier and up 43.2% from the prior quarter.
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Analysis
Hi-Great Group Holding (HIGR) Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Hi-Great Group Holding's Accumulated Expenses was $3,500.
- The five-year range for quarterly Accumulated Expenses is $1,300 (the quarter ended Mar 31, 2025) to $17,500 (the quarter ended Sep 30, 2025).
- Business Quant data shows HIGR's Accumulated Expenses at $9,731 (quarter ended Mar 31, 2026), $3,500 (quarter ended Dec 31, 2025) and $17,500 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 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 |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Hi-Great Group Holding | 1.02 Mn | 1.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13,936.00 |
| Mar 31, 2026 | 9,731.00 |
| Dec 31, 2025 | 3,500.00 |
| Sep 30, 2025 | 17,500.00 |
| Jun 30, 2025 | 10,750.00 |
| Mar 31, 2025 | 1,300.00 |
| Sep 30, 2020 | 1,054.00 |
API Access
Hi-Great Group Holding Accumulated 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=accumulated-expenses&ticker=HIGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HIGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();