Bryn (BRRN) Operating Expenses (2010 - 2026)
Bryn's Operating Expenses came in at $178,646 for Q2 2026, compared with $8,472 a year earlier and up 477.5% from the prior quarter.
Bryn (BRRN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bryn reported Operating Expenses of $224,726, up 241.7% year-over-year; for FY2025, it came in at $40,025, down 11.0% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -55.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $44,987 in FY2024 (+112.0%), $21,221 in FY2023 (+346.6%), $4,752 in FY2022 (-100.0%) and $87.67 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2023.
- Year-over-year, Operating Expenses increased in five of the last seven quarters, with growth averaging 206.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2025 (growth of 803.1%), and the weakest in Q3 2025 (a decline of 83.0%).
- Business Quant data shows BRRN's Operating Expenses at $30,937 (Q1 2026), $11,443 (Q4 2025) and $3,700 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Bentley Systems | 9.39 Bn | 8.85 Bn | 336.74 Mn | 248.13 Mn |
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 |
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=BRRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BRRN", "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=BRRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();