Concord Acquisition (CNDA) Price to Earnings (2022 - 2026)
Concord Acquisition's Price to Earnings came in at 69.28 for Q2 2026, up 26.5% from the prior quarter.
Analysis
Concord Acquisition (CNDA) Price to Earnings (2022 - 2026) Analysis & Trends
For FY2025, Concord Acquisition's Price to Earnings was 143.83.
- Going back by year, Price to Earnings was 81.26 in FY2023 (+88.4%), 43.14 in FY2022 (-55.3%) and 96.49 in FY2021.
- The five-year range for quarterly Price to Earnings is 21.73 (Q3 2025) to 143.83 (Q4 2025).
- Business Quant data shows CNDA's Price to Earnings at 54.79 (Q1 2026), 143.83 (Q4 2025) and 21.73 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn |
| 10 | Concord Acquisition | 87.53 Mn | 87.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.28 |
| Mar 31, 2026 | 54.79 |
| Dec 31, 2025 | 143.83 |
| Sep 30, 2025 | 21.73 |
| Jun 30, 2024 | 95.80 |
| Mar 31, 2024 | 78.32 |
| Dec 31, 2023 | 81.26 |
| Sep 30, 2023 | 65.73 |
| Jun 30, 2023 | 68.09 |
| Mar 31, 2023 | 52.15 |
| Dec 31, 2022 | 43.14 |
| Sep 30, 2022 | 37.84 |
| Jun 30, 2022 | 39.86 |
API Access
Concord Acquisition 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=CNDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "CNDA", "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=CNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();