AmBase (ABCP) Operating Expenses (2011 - 2026)
AmBase (ABCP) posted Operating Expenses of $705,000 for Q2 2026, down 37.4% from $1.13 million a year earlier but up 4.0% from the prior quarter.
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Analysis
AmBase (ABCP) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at AmBase was $3.04 million, down 44.2% year-over-year; for FY2025, it was $4.32 million, down 33.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- In prior years, AmBase's Operating Expenses was $6.52 million in FY2024 (+29.5%), $5.03 million in FY2023 (+46.9%), $3.42 million in FY2022 (-34.3%) and $5.21 million in FY2021 (-7.7%).
- Quarterly Operating Expenses has run from a low of $663,000 in Q4 2022 to a high of $2.01 million in Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last seven quarters, with an average decline of 26.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 94.7%; the weakest was Q1 2026, with a decline of 55.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $678,000 (Q1 2026), $673,000 (Q4 2025) and $985,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 2.50 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | AmBase | 22.93 Mn | 30.93 Mn | - | 705,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 705,000.00 |
| Mar 31, 2026 | 678,000.00 |
| Dec 31, 2025 | 673,000.00 |
| Sep 30, 2025 | 985,000.00 |
| Jun 30, 2025 | 1.13 Mn |
| Mar 31, 2025 | 1.54 Mn |
| Dec 31, 2024 | 1.26 Mn |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 2.01 Mn |
| Mar 31, 2024 | 1.73 Mn |
| Dec 31, 2023 | 1.29 Mn |
| Sep 30, 2023 | 1.30 Mn |
| Jun 30, 2023 | 1.25 Mn |
| Mar 31, 2023 | 1.19 Mn |
| Dec 31, 2022 | 663,000.00 |
| Sep 30, 2022 | 721,000.00 |
| Jun 30, 2022 | 983,000.00 |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 1.08 Mn |
| Sep 30, 2021 | 1.26 Mn |
API Access
AmBase 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=ABCP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ABCP", "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=ABCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();