Atlantica Inc (ALDA) Operating Expenses (2010 - 2026)
Atlantica's Operating Expenses came in at $38,696 for Q2 2026, down 39.2% from $63,682 a year earlier.
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Analysis
Atlantica Inc (ALDA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Atlantica reported Operating Expenses of $218,895, up 15.9% year-over-year; for FY2025, it was $225,955, up 2.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $219,813 in FY2024 (-2.6%), $225,730 in FY2023 (-83.4%), $1.36 million in FY2022 (+695.4%) and $170,907 in FY2021 (-22.3%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q4 2022.
- Year-over-year, Operating Expenses increased in three of the last seven quarters, with growth averaging 1.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 910.3%), and the weakest in Q1 2023 (a decline of 94.2%).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38,696.00 |
| Dec 31, 2025 | 42,892.00 |
| Sep 30, 2025 | 73,625.00 |
| Jun 30, 2025 | 63,682.00 |
| Mar 31, 2025 | 45,756.00 |
| Dec 31, 2024 | 39,231.00 |
| Sep 30, 2024 | 40,146.00 |
| Jun 30, 2024 | 39,646.00 |
| Mar 31, 2024 | 100,791.00 |
| Dec 31, 2023 | 51,539.00 |
| Sep 30, 2023 | 52,257.00 |
| Jun 30, 2023 | 70,336.00 |
| Mar 31, 2023 | 51,598.00 |
| Dec 31, 2022 | 34,831.00 |
| Sep 30, 2022 | 59,946.00 |
| Jun 30, 2022 | 373,656.00 |
| Mar 31, 2022 | 890,960.00 |
| Dec 31, 2021 | 37,660.00 |
| Sep 30, 2021 | 36,746.00 |
| Jun 30, 2021 | 36,984.00 |
API Access
Atlantica Inc 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=ALDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ALDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();