Atlantica (ALDA) Change in Accured Expenses (2010 - 2025)
Atlantica (ALDA) reported Change in Accured Expenses of $51,937 for Q4 2025, up 13.1% from $45,940 a year earlier and up 2.7% from the prior quarter.
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Analysis
Atlantica (ALDA) Change in Accured Expenses (2010 - 2025) Analysis & Trends
For FY2025, Atlantica posted Change in Accured Expenses of $198,335, up 13.4% from FY2024.
- Change in Accured Expenses has increased for 15 consecutive years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $174,856 in FY2024 (+14.1%), $153,216 in FY2023 (+13.1%), $135,455 in FY2022 (+14.8%) and $117,961 in FY2021 (+13.0%).
- The Q4 2025 figure ranks as the highest quarterly Change in Accured Expenses in data going back to Q3 2010.
- Year over year, Change in Accured Expenses has now increased in each of the last 58 quarters, with growth averaging 13.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Change in Accured Expenses ran from 11.8% in Q4 2021 to 15.6% in Q4 2022.
- Per Business Quant data, the three quarters before Q4 2025 came in at $50,574 (Q3 2025), $48,730 (Q2 2025) and $47,094 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.94 Bn | 29.62 Bn | - | - |
| 2 | Orix | 41.70 Bn | 42.20 Bn | - | - |
| 3 | Royalty Pharma | 32.87 Bn | 32.78 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | - |
| 5 | Affirm Holdings | 23.86 Bn | 17.55 Bn | - | -22.78 Mn |
| 6 | Synchrony Financial | 23.33 Bn | -44.64 Bn | - | 190.00 Mn |
| 7 | Royal Gold | 19.87 Bn | 19.09 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 13.89 Bn | 4.98 Bn | - | 88.31 Mn |
| 9 | Ares Capital | 13.54 Bn | 10.98 Bn | - | 4.00 Mn |
| 10 | Atlantica | 2.46 Mn | 2.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 51,937.00 |
| Sep 30, 2025 | 50,574.00 |
| Jun 30, 2025 | 48,730.00 |
| Mar 31, 2025 | 47,094.00 |
| Dec 31, 2024 | 45,940.00 |
| Sep 30, 2024 | 44,738.00 |
| Jun 30, 2024 | 42,850.00 |
| Mar 31, 2024 | 41,328.00 |
| Dec 31, 2023 | 40,366.00 |
| Sep 30, 2023 | 39,071.00 |
| Jun 30, 2023 | 37,671.00 |
| Mar 31, 2023 | 36,108.00 |
| Dec 31, 2022 | 35,865.00 |
| Sep 30, 2022 | 34,669.00 |
| Jun 30, 2022 | 33,227.00 |
| Mar 31, 2022 | 31,694.00 |
| Dec 31, 2021 | 31,012.00 |
| Sep 30, 2021 | 30,027.00 |
| Jun 30, 2021 | 28,978.00 |
| Mar 31, 2021 | 27,944.00 |
API Access
Atlantica Change in Accured 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=change-in-accured-expenses&ticker=ALDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ALDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=ALDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();