Primo Brands (PRMB) Total Liabilities (2023 - 2026)
Primo Brands' (PRMB) quarterly Total Liabilities came in at $7.7 billion in Q2 2026, down 1.87% year-over-year from $7.8 billion in Q2 2025, and little changed quarter-over-quarter from $7.6 billion in Q1 2026.
Primo Brands (PRMB) Total Liabilities (2023 - 2026) Analysis & Trends
Primo Brands (PRMB) has reported Total Liabilities for 4 consecutive years, with $7.7 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Total Liabilities fell 1.87% year-over-year to $7.7 billion in Q2 2026; TTM through Jun 2026 was $7.7 billion, a 1.87% decrease from a year earlier, with the FY2025 full-year figure at $7.6 billion, down 1.81% from the prior year.
- Total Liabilities was $7.7 billion for Q2 2026 at Primo Brands, roughly flat from $7.6 billion in the prior quarter.
- Over five years, Total Liabilities peaked at $7.8 billion in Q2 2025 and troughed at $241.5 million in Q3 2024.
- A 4-year average of $5.4 billion and a median of $7.6 billion in 2026 frame the typical range for Total Liabilities.
- Across the five-year window, Total Liabilities jumped 3128.2% in 2025 and dropped 1.87% in 2026, its largest moves.
- Over 4 years, Total Liabilities stood at $5.2 billion in 2023, then soared by 50.46% to $7.8 billion in 2024, then slipped by 1.81% to $7.6 billion in 2025, then grew by 0.62% to $7.7 billion in 2026.
- The last three Total Liabilities figures came in at $7.7 billion (Q2 2026), $7.6 billion (Q1 2026), and $7.6 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | 69.61 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | -33.89 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 | 89.92 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | 2.02 Bn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | 9.74 Bn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | 25.11 Bn |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | 53.97 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | 2,133.24 Bn |
| 10 | Primo Brands | 7.16 Bn | 6.80 Bn | 548.70 Mn | 7.66 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.66 Bn |
| Mar 31, 2026 | 7.63 Bn |
| Dec 31, 2025 | 7.61 Bn |
| Sep 30, 2025 | 7.80 Bn |
| Jun 30, 2025 | 7.80 Bn |
| Mar 31, 2025 | 7.65 Bn |
| Dec 31, 2024 | 7.75 Bn |
| Sep 30, 2024 | 241.50 Mn |
| Jun 30, 2024 | 296.80 Mn |
| Mar 31, 2024 | 349.80 Mn |
| Dec 31, 2023 | 5.15 Bn |
Primo Brands Total Liabilities 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=total-liabilities&ticker=PRMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PRMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();