Primo Brands (PRMB) Liabilities from Discontinued Operations (2024 - 2025)
Primo Brands' (PRMB) quarterly Liabilities from Discontinued Operations came in at $88.9 million in Q3 2025, down 2.2% quarter-over-quarter from $90.9 million in Q2 2025.
Primo Brands (PRMB) Liabilities from Discontinued Operations (2024 - 2025) Analysis & Trends
Primo Brands (PRMB) has reported Liabilities from Discontinued Operations for 2 consecutive years, with $88.9 million the latest figure, recorded in Q3 2025.
- On a quarterly basis, Liabilities from Discontinued Operations changed N/A year-over-year to $88.9 million in Q3 2025; TTM through Sep 2025 was $88.9 million, a N/A change from a year earlier, with the FY2024 full-year figure at $82.2 million, changed N/A from the prior year.
- Liabilities from Discontinued Operations was $88.9 million for Q3 2025 at Primo Brands, down from $90.9 million in the prior quarter.
- Over five years, Liabilities from Discontinued Operations peaked at $90.9 million in Q2 2025 and troughed at $79.9 million in Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn |
| 10 | Primo Brands | 7.16 Bn | 6.80 Bn | 548.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 88.90 Mn |
| Jun 30, 2025 | 90.90 Mn |
| Mar 31, 2025 | 79.90 Mn |
| Dec 31, 2024 | 82.20 Mn |
Primo Brands Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=PRMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "ticker": "PRMB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=liabilities-from-discontinued-operations&ticker=PRMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();