Concord Acquisition (CNDA) Total Non-Current Liabilities (2022 - 2026)
Concord Acquisition's Total Non-Current Liabilities came in at $7.41 million for Q2 2026, down 15.7% from $8.79 million a year earlier and down 13.2% from the prior quarter.
Concord Acquisition (CNDA) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Concord Acquisition's Total Non-Current Liabilities was $8.62 million, down 74.2% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, with a three-year compound annual growth rate of -69.2% (FY2022 to FY2025).
- Going back by year, Total Non-Current Liabilities was $33.38 million in FY2024 (-79.5%), $162.51 million in FY2023 (-44.9%) and $295.03 million in FY2022.
- The five-year range for quarterly Total Non-Current Liabilities is $7.39 million (Q3 2025) to $298.58 million (Q2 2023).
- Year-over-year, Total Non-Current Liabilities has declined for nine consecutive quarters, with an average decline of 64.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Total Non-Current Liabilities ranged from 15.7% (Q2 2026) to 93.6% (Q1 2025).
- Business Quant data shows CNDA's Total Non-Current Liabilities at $8.54 million (Q1 2026), $8.62 million (Q4 2025) and $7.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 52.77 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 25.35 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 7.37 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 333.26 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 10.41 Bn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 433.59 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 2.19 Bn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 673.40 Mn |
| 10 | Concord Acquisition | 87.53 Mn | 87.53 Mn | - | 7.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.41 Mn |
| Mar 31, 2026 | 8.54 Mn |
| Dec 31, 2025 | 8.62 Mn |
| Sep 30, 2025 | 7.39 Mn |
| Jun 30, 2025 | 8.79 Mn |
| Mar 31, 2025 | 10.52 Mn |
| Dec 31, 2024 | 33.38 Mn |
| Sep 30, 2024 | 35.67 Mn |
| Jun 30, 2024 | 33.95 Mn |
| Mar 31, 2024 | 164.51 Mn |
| Dec 31, 2023 | 162.51 Mn |
| Sep 30, 2023 | 166.57 Mn |
| Jun 30, 2023 | 298.58 Mn |
| Dec 31, 2022 | 295.03 Mn |
Concord Acquisition Total Non-Current 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-non-current-liabilities&ticker=CNDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=CNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();