Blackberry (BB) Operating Expenses (2019 - 2026)
Blackberry's Operating Expenses was $93.5 million in fiscal Q2 2027 (quarter ended Aug 31, 2026), up 9.9% from $85.1 million a year earlier but down 10.4% from the prior quarter.
Blackberry (BB) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Blackberry's Operating Expenses was $394.4 million through Aug 31, 2026, up 4.3% year-over-year; for FY2026 (ended Feb 28, 2026), it was $369.9 million, down 6.1% from FY2025.
- Operating Expenses has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -26.7% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $394.1 million in FY2025 (-17.8%), $479.7 million in FY2024 (-16.3%), $573.4 million in FY2023 (+22.3%) and $469 million in FY2022 (-73.2%).
- Quarterly Operating Expenses has moved between -$22 million (fiscal Q4 2022) and $281 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 2.6%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2024 (growth of 384.9%); the worst was fiscal Q3 2022 (a decline of 76.1%).
- Per Business Quant data, BB's Operating Expenses in the three fiscal quarters before Q2 2027 was $104.4 million (Q1 2027), $98.5 million (Q4 2026) and $98 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Blackberry | 5.17 Bn | 3.77 Bn | 127.10 Mn | 93.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 93.50 Mn |
| May 31, 2026 | 104.40 Mn |
| Feb 28, 2026 | 98.50 Mn |
| Nov 30, 2025 | 98.00 Mn |
| Aug 31, 2025 | 85.10 Mn |
| May 31, 2025 | 88.30 Mn |
| Feb 28, 2025 | 112.10 Mn |
| Nov 30, 2024 | 92.70 Mn |
| Aug 31, 2024 | 86.40 Mn |
| May 31, 2024 | 102.90 Mn |
| Feb 29, 2024 | 137.70 Mn |
| Nov 30, 2023 | 101.00 Mn |
| Aug 31, 2023 | 132.00 Mn |
| May 31, 2023 | 190.00 Mn |
| Feb 28, 2023 | 28.40 Mn |
| Nov 30, 2022 | 111.00 Mn |
| Aug 31, 2022 | 153.00 Mn |
| May 31, 2022 | 281.00 Mn |
| Feb 28, 2022 | -22.00 Mn |
| Nov 30, 2021 | 66.00 Mn |
Blackberry 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=BB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BB", "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=BB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();