Molson Coors Beverage (TAP-A) Selling, General & Administrative (2009 - 2026)
Analysis
Molson Coors Beverage (TAP-A) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 633.50 Mn |
| Jun 30, 2026 | 718.50 Mn |
| Mar 31, 2026 | 610.00 Mn |
| Dec 31, 2025 | 610.90 Mn |
| Sep 30, 2025 | 686.70 Mn |
| Jun 30, 2025 | 693.10 Mn |
| Mar 31, 2025 | 653.20 Mn |
| Dec 31, 2024 | 649.70 Mn |
| Sep 30, 2024 | 684.70 Mn |
| Jun 30, 2024 | 728.50 Mn |
| Mar 31, 2024 | 654.60 Mn |
| Dec 31, 2023 | 683.20 Mn |
| Sep 30, 2023 | 746.80 Mn |
| Jun 30, 2023 | 734.90 Mn |
| Mar 31, 2023 | 615.00 Mn |
| Dec 31, 2022 | 575.50 Mn |
| Sep 30, 2022 | 660.00 Mn |
| Jun 30, 2022 | 707.60 Mn |
| Mar 31, 2022 | 675.70 Mn |
| Dec 31, 2021 | 665.10 Mn |
API Access
Molson Coors Beverage Selling, General & Administrative 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=selling-general-and-administrative&ticker=TAP-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TAP-A", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=TAP-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();