Hi-Great Group Holding (HIGR) Price to Earnings (2021 - 2023)
Hi-Great Group Holding's (HIGR) Price to Earnings was 122.61 for the quarter ended Sep 30, 2023, up 82.6% from the prior quarter.
Powered by 
Analysis
Hi-Great Group Holding (HIGR) Price to Earnings (2021 - 2023) Analysis & Trends
For the year ended Dec 31, 2022, Price to Earnings at Hi-Great Group Holding was 606.06, down 98.4% from the prior year.
- By year, Price to Earnings came in at 38774.72 in the year ended Dec 31, 2021.
- The figure for the quarter ended Sep 30, 2023 ranks as the highest quarterly Price to Earnings since the quarter ended Mar 31, 2022.
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2023 came in at 67.15 (quarter ended Jun 30, 2023), 39.24 (quarter ended Mar 31, 2023) and 22.68 (quarter ended Dec 31, 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn |
| 10 | Hi-Great Group Holding | 1.02 Mn | 1.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 122.61 |
| Jun 30, 2023 | 67.15 |
| Mar 31, 2023 | 39.24 |
| Dec 31, 2022 | 22.68 |
| Mar 31, 2022 | 2,190.53 |
| Sep 30, 2021 | 1,330.57 |
| Jun 30, 2021 | 7,240.02 |
API Access
Hi-Great Group Holding Price to Earnings 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=price-to-earnings&ticker=HIGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=HIGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();