Westrock Coffee (WEST) Operating Expenses (2021 - 2026)
Westrock Coffee (WEST) posted Operating Expenses of $39.1 million for Q2 2026, down 30.7% from $56.41 million a year earlier and down 8.2% from the prior quarter.
Westrock Coffee (WEST) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Westrock Coffee was $179.38 million, down 8.6% year-over-year; for FY2025, it was $196.22 million, down 3.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In prior years, Westrock Coffee's Operating Expenses was $202.9 million in FY2024 (+26.6%), $160.29 million in FY2023 (+11.2%), $144.09 million in FY2022 (+4.7%) and $137.58 million in FY2021 (-39.6%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q2 2023.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 0.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 55.9%; the weakest was Q2 2026, with a decline of 30.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $42.61 million (Q1 2026), $47.64 million (Q4 2025) and $50.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 209.77 Bn | 202.17 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.89 Bn | 182.89 Bn | 2.06 Bn | 1.49 Bn |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 138.58 Bn | 107.33 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 82.00 Bn | 70.25 Bn | 1.42 Bn | 679.19 Mn |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - | -1.63 Bn |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn | -263.15 Mn |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn | 2.40 Bn |
| 10 | Westrock Coffee | 805.42 Mn | 928.56 Mn | 37.75 Mn | 39.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.10 Mn |
| Mar 31, 2026 | 42.61 Mn |
| Dec 31, 2025 | 47.64 Mn |
| Sep 30, 2025 | 50.03 Mn |
| Jun 30, 2025 | 56.41 Mn |
| Mar 31, 2025 | 42.14 Mn |
| Dec 31, 2024 | 47.85 Mn |
| Sep 30, 2024 | 49.83 Mn |
| Jun 30, 2024 | 57.81 Mn |
| Mar 31, 2024 | 47.41 Mn |
| Dec 31, 2023 | 41.19 Mn |
| Sep 30, 2023 | 40.44 Mn |
| Jun 30, 2023 | 37.07 Mn |
| Mar 31, 2023 | 41.66 Mn |
| Dec 31, 2022 | 33.26 Mn |
| Sep 30, 2022 | 35.64 Mn |
| Jun 30, 2022 | 37.54 Mn |
| Mar 31, 2022 | 37.65 Mn |
| Dec 31, 2021 | 37.65 Mn |
| Sep 30, 2021 | 34.24 Mn |
Westrock Coffee Operating 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=operating-expenses&ticker=WEST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WEST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=WEST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();