Bryn (BRRND) Operating Expenses (2010 - 2026)
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Analysis
Bryn (BRRND) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178,646.00 |
| Mar 31, 2026 | 30,937.00 |
| Dec 31, 2025 | 11,443.00 |
| Sep 30, 2025 | 3,700.00 |
| Jun 30, 2025 | 8,472.00 |
| Mar 31, 2025 | 16,410.00 |
| Dec 31, 2024 | 19,082.00 |
| Sep 30, 2024 | 21,796.00 |
| Jun 30, 2024 | 2,293.00 |
| Mar 31, 2024 | 1,817.00 |
| Dec 31, 2023 | 5,480.00 |
| Sep 30, 2023 | 8,365.00 |
| Jun 30, 2023 | 5,188.00 |
| Mar 31, 2023 | 2,188.00 |
| Oct 31, 2020 | 2,036.00 |
| Jul 31, 2020 | 11,896.00 |
| Apr 30, 2019 | -1.43 Mn |
| Jan 31, 2013 | 148,926.00 |
| Oct 31, 2012 | 929,551.00 |
| Jul 31, 2012 | 357,640.00 |
API Access
Bryn 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=BRRND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BRRND", "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=BRRND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();