AXIA Energia (AXICY) Cost of Revenue - Total (2009 - 2026)
Analysis
AXIA Energia (AXICY) Cost of Revenue - Total (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | 952.88 |
| Dec 31, 2025 | -7.06 Bn |
| Sep 30, 2025 | 870.88 |
| Jun 30, 2025 | 792.75 Mn |
| Mar 31, 2025 | 754.82 |
| Dec 31, 2024 | -3.99 Bn |
| Sep 30, 2024 | 779.06 |
| Jun 30, 2024 | 1,993.26 |
| Mar 31, 2024 | 1,033.39 |
| Dec 31, 2023 | 920.70 Mn |
| Sep 30, 2023 | 2.69 Bn |
| Jun 30, 2023 | 16.51 Mn |
| Mar 31, 2023 | 835.02 Mn |
| Dec 31, 2022 | 67.02 Bn |
| Sep 30, 2022 | 190,877.40 |
| Jun 30, 2022 | 18.81 Mn |
| Mar 31, 2022 | 4.80 Mn |
| Dec 31, 2021 | 62.11 Bn |
| Sep 30, 2021 | 3.83 Mn |
API Access
AXIA Energia Cost of Revenue - Total 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=cost-of-revenue-total&ticker=AXICY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue-total", "ticker": "AXICY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue-total&ticker=AXICY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();