Abundia Global Impact (AGIG) Price to Earnings (2023)
Abundia Global Impact's Price to Earnings was 455.85 in Q3 2023.
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Analysis
Abundia Global Impact (AGIG) Price to Earnings (2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.90 Bn | 638.12 Bn | - |
| 2 | Shell | 547.48 Bn | 458.03 Bn | 30.13 Bn |
| 3 | Chevron | 408.53 Bn | 386.32 Bn | 33.45 Bn |
| 4 | TotalEnergies SE | 186.30 Bn | 69.43 Bn | - |
| 5 | Eni Spa | 172.32 Bn | 121.84 Bn | - |
| 6 | Conocophillips | 152.28 Bn | 124.99 Bn | 12.81 Bn |
| 7 | Equinor Asa | 106.44 Bn | 52.50 Bn | - |
| 8 | Phillips 66 | 105.58 Bn | 94.57 Bn | 8.38 Bn |
| 9 | Canadian Natural Resources | 100.85 Bn | 97.81 Bn | - |
| 10 | Abundia Global Impact | 44.59 Mn | 11.03 Mn | 601,569.00 |
API Access
Abundia Global Impact 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=AGIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "AGIG", "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=AGIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();