Atlantica Inc (ALDA) Short-Term Borrowings (2021 - 2026)
Analysis
Atlantica Inc (ALDA) Short-Term Borrowings (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 844,428.00 |
| Dec 31, 2025 | 812,197.00 |
| Sep 30, 2025 | 807,982.00 |
| Jun 30, 2025 | 804,482.00 |
| Mar 31, 2025 | 800,532.00 |
| Dec 31, 2024 | 762,407.00 |
| Sep 30, 2024 | 762,271.00 |
| Jun 30, 2024 | 745,039.00 |
| Mar 31, 2024 | 745,039.00 |
| Dec 31, 2023 | 713,653.00 |
| Sep 30, 2023 | 696,814.00 |
| Jun 30, 2023 | 693,714.00 |
| Mar 31, 2023 | 693,714.00 |
| Dec 31, 2022 | 681,527.00 |
| Sep 30, 2022 | 670,816.00 |
| Jun 30, 2022 | 653,101.00 |
| Mar 31, 2022 | 653,101.00 |
| Dec 31, 2021 | 617,049.00 |
API Access
Atlantica Inc Short-Term Borrowings 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=short-term-borrowings&ticker=ALDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-borrowings", "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=short-term-borrowings&ticker=ALDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();