Concord Acquisition (CNDA) Total Liabilities (2021 - 2026)
Concord Acquisition's Total Liabilities came in at $8.02 million for Q2 2026, down 12.4% from $9.15 million a year earlier and down 11.7% from the prior quarter.
Concord Acquisition (CNDA) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Concord Acquisition's Total Liabilities was $9.1 million, down 72.9% from FY2024.
- Total Liabilities has declined in each of the last four years, with a four-year compound annual growth rate of -58.4% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $33.62 million in FY2024 (-79.3%), $162.51 million in FY2023 (-44.9%), $295.05 million in FY2022 (-3.1%) and $304.33 million in FY2021.
- The five-year range for quarterly Total Liabilities is $7.82 million (Q3 2025) to $304.33 million (Q4 2021).
- Year-over-year, Total Liabilities has declined for 12 consecutive quarters, with an average decline of 63.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2023 (growth of 1.7%), and the weakest in Q1 2025 (a decline of 93.4%).
- Business Quant data shows CNDA's Total Liabilities at $9.08 million (Q1 2026), $9.1 million (Q4 2025) and $7.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 118.04 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | 45.42 Mn |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 28.83 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 11.30 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 337.08 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 10.89 Bn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 452.57 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 2.47 Bn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 681.50 Mn |
| 10 | Concord Acquisition | 87.53 Mn | 87.53 Mn | - | 8.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.02 Mn |
| Mar 31, 2026 | 9.08 Mn |
| Dec 31, 2025 | 9.10 Mn |
| Sep 30, 2025 | 7.82 Mn |
| Jun 30, 2025 | 9.15 Mn |
| Mar 31, 2025 | 10.82 Mn |
| Dec 31, 2024 | 33.62 Mn |
| Sep 30, 2024 | 35.85 Mn |
| Jun 30, 2024 | 34.08 Mn |
| Mar 31, 2024 | 164.57 Mn |
| Dec 31, 2023 | 162.51 Mn |
| Sep 30, 2023 | 166.58 Mn |
| Jun 30, 2023 | 298.59 Mn |
| Mar 31, 2023 | 297.34 Mn |
| Dec 31, 2022 | 295.05 Mn |
| Sep 30, 2022 | 294.56 Mn |
| Jun 30, 2022 | 293.46 Mn |
| Mar 31, 2022 | 298.88 Mn |
| Dec 31, 2021 | 304.33 Mn |
| Sep 30, 2021 | 303.34 Mn |
Concord Acquisition Total Liabilities 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=total-liabilities&ticker=CNDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();