Concord Acquisition (CNDA) Operating Expenses (2021 - 2026)
Concord Acquisition (CNDA) posted Operating Expenses of $58,318 for Q2 2026, down 83.7% from $358,705 a year earlier and down 81.4% from the prior quarter.
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Analysis
Concord Acquisition (CNDA) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Concord Acquisition was $804,276, down 61.2% year-over-year; for FY2025, it came in at $1.27 million, down 41.1% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 25.2% (FY2021 to FY2025).
- In prior years, Concord Acquisition's Operating Expenses was $2.15 million in FY2024 (-6.8%), $2.31 million in FY2023 (+98.7%), $1.16 million in FY2022 (+125.4%) and $515,314 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q2 2021.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with an average decline of 31.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2023, with growth of 415.1%; the weakest was Q2 2026, with a decline of 83.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $313,561 (Q1 2026), $177,182 (Q4 2025) and $255,215 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | 149.76 Mn |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 2.38 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 14.94 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Concord Acquisition | 87.53 Mn | 87.53 Mn | - | 58,318.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58,318.00 |
| Mar 31, 2026 | 313,561.00 |
| Dec 31, 2025 | 177,182.00 |
| Sep 30, 2025 | 255,215.00 |
| Jun 30, 2025 | 358,705.00 |
| Mar 31, 2025 | 474,341.00 |
| Dec 31, 2024 | 400,707.00 |
| Sep 30, 2024 | 838,843.00 |
| Jun 30, 2024 | 565,464.00 |
| Mar 31, 2024 | 345,251.00 |
| Dec 31, 2023 | 302,369.00 |
| Sep 30, 2023 | 1.39 Mn |
| Jun 30, 2023 | 318,679.00 |
| Mar 31, 2023 | 294,974.00 |
| Dec 31, 2022 | 278,329.00 |
| Sep 30, 2022 | 270,213.00 |
| Jun 30, 2022 | 306,020.00 |
| Mar 31, 2022 | 307,117.00 |
| Sep 30, 2021 | 190,574.00 |
| Jun 30, 2021 | 473.00 |
API Access
Concord Acquisition Operating Expenses 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=operating-expenses&ticker=CNDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();