Brc (BRCC) Operating Expenses (2021 - 2026)
Brc's Operating Expenses came in at $35.38 million for Q2 2026, down 21.0% from $44.8 million a year earlier but up 1.8% from the prior quarter.
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Analysis
Brc (BRCC) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Brc reported Operating Expenses of $149.99 million, down 9.4% year-over-year; for FY2025, it came in at $162.54 million, up 3.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $157.33 million in FY2024 (-10.4%), $175.66 million in FY2023 (+5.2%), $166.94 million in FY2022 (+64.9%) and $101.27 million in FY2021 (+59.2%).
- The five-year range for quarterly Operating Expenses is $27.21 million (Q3 2021) to $48.93 million (Q4 2022).
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with an average decline of 2.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 103.8%), and the weakest in Q2 2026 (a decline of 21.0%).
- Business Quant data shows BRCC's Operating Expenses at $34.77 million (Q1 2026), $43.21 million (Q4 2025) and $36.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 398.67 Bn | 385.14 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.49 Bn | 198.49 Bn | 2.06 Bn | 1.49 Bn |
| 3 | Pepsico | 183.54 Bn | 141.30 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Monster Beverage | 91.63 Bn | 79.88 Bn | 1.42 Bn | 679.19 Mn |
| 5 | Diageo | 51.70 Bn | 31.77 Bn | - | - |
| 6 | Ambev | 51.15 Bn | 36.44 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 50.72 Bn | 43.39 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 47.02 Bn | 43.06 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.42 Bn | 21.97 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Brc | 124.90 Mn | 89.09 Mn | 36.48 Mn | 35.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.38 Mn |
| Mar 31, 2026 | 34.77 Mn |
| Dec 31, 2025 | 43.21 Mn |
| Sep 30, 2025 | 36.63 Mn |
| Jun 30, 2025 | 44.80 Mn |
| Mar 31, 2025 | 37.90 Mn |
| Dec 31, 2024 | 42.58 Mn |
| Sep 30, 2024 | 40.24 Mn |
| Jun 30, 2024 | 36.28 Mn |
| Mar 31, 2024 | 38.23 Mn |
| Dec 31, 2023 | 43.89 Mn |
| Sep 30, 2023 | 41.05 Mn |
| Jun 30, 2023 | 45.87 Mn |
| Mar 31, 2023 | 44.73 Mn |
| Dec 31, 2022 | 48.93 Mn |
| Sep 30, 2022 | 39.56 Mn |
| Jun 30, 2022 | 39.40 Mn |
| Mar 31, 2022 | 39.06 Mn |
| Dec 31, 2021 | 28.75 Mn |
| Sep 30, 2021 | 27.21 Mn |
API Access
Brc 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=BRCC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BRCC", "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=BRCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();