Primo Brands (PRMB) Accumulated Expenses (2023 - 2026)
Primo Brands (PRMB) posted Accumulated Expenses of $630 million for Q2 2026, down 0.3% from $632 million a year earlier and down 4.4% from the prior quarter.
Primo Brands (PRMB) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Primo Brands' Accumulated Expenses came in at $597.6 million, down 14.3% from FY2024.
- In prior years, Primo Brands' Accumulated Expenses was $697.7 million in FY2024 (+117.6%) and $320.6 million in FY2023.
- Quarterly Accumulated Expenses has run from a low of $2,000 in Q3 2024 to a high of $697.7 million in Q4 2024 over five years.
- On a year-over-year basis, Accumulated Expenses increased in two of the last four quarters, with growth averaging 29.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $658.7 million (Q1 2026), $597.6 million (Q4 2025) and $619.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 412.98 Bn | 401.46 Bn | 8.45 Bn |
| 2 | Diageo | 237.65 Bn | 219.80 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 195.53 Bn | 195.53 Bn | 2.15 Bn |
| 4 | Pepsico | 194.08 Bn | 152.04 Bn | 13.75 Bn |
| 5 | Monster Beverage | 95.50 Bn | 83.75 Bn | 1.42 Bn |
| 6 | Coca-Cola Europacific Partners | 52.02 Bn | 45.24 Bn | - |
| 7 | Keurig Dr Pepper | 50.06 Bn | 50.30 Bn | 3.07 Bn |
| 8 | Ambev | 43.66 Bn | 28.57 Bn | 2.14 Bn |
| 9 | Constellation Brands | 24.61 Bn | 24.16 Bn | 1.39 Bn |
| 10 | Primo Brands | 7.63 Bn | 6.18 Bn | 548.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 630.00 Mn |
| Mar 31, 2026 | 658.70 Mn |
| Dec 31, 2025 | 597.60 Mn |
| Sep 30, 2025 | 619.30 Mn |
| Jun 30, 2025 | 632.00 Mn |
| Mar 31, 2025 | 578.30 Mn |
| Dec 31, 2024 | 697.70 Mn |
| Sep 30, 2024 | 2,000.00 |
| Dec 31, 2023 | 320.60 Mn |
Primo Brands Accumulated Expenses 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=accumulated-expenses&ticker=PRMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PRMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();