Rubrik (RBRK) Non Operating Interest Expenses (2023 - 2026)
Rubrik (RBRK) reported Non Operating Interest Expenses of $1.1 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 78.9% from $5.24 million a year earlier but up 3.2% from the prior quarter.
Rubrik (RBRK) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Rubrik's Non Operating Interest Expenses came in at $4.35 million, down 87.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $17.23 million, down 58.2% from FY2025.
- Non Operating Interest Expenses has a three-year compound annual growth rate of 13.7% (FY2023 to FY2026).
- By fiscal year, Non Operating Interest Expenses came in at $41.25 million in FY2025 (+36.2%), $30.3 million in FY2024 (+158.7%) and $11.71 million in FY2023.
- Five-year quarterly Non Operating Interest Expenses spans a low of $1.07 million in fiscal Q1 2027 and a high of $10.62 million in fiscal Q1 2025.
- Year over year, Non Operating Interest Expenses has now declined in each of the last six quarters, with an average decline of 47.9% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q1 2025 (growth of 92.0%); the low point was fiscal Q3 2026 (a decline of 89.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.07 million (Q1 2027), $1.09 million (Q4 2026) and $1.08 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 28.10 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | -90.00 Mn |
| 10 | Rubrik | 23.42 Bn | 16.65 Bn | 335.12 Mn | 1.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.10 Mn |
| Apr 30, 2026 | 1.07 Mn |
| Jan 31, 2026 | 1.09 Mn |
| Oct 31, 2025 | 1.08 Mn |
| Jul 31, 2025 | 5.24 Mn |
| Apr 30, 2025 | 9.81 Mn |
| Jan 31, 2025 | 10.07 Mn |
| Oct 31, 2024 | 10.31 Mn |
| Jul 31, 2024 | 10.25 Mn |
| Apr 30, 2024 | 10.62 Mn |
| Jan 31, 2024 | 9.58 Mn |
| Oct 31, 2023 | 9.01 Mn |
| Jul 31, 2023 | 6.17 Mn |
| Apr 30, 2023 | 5.53 Mn |
Rubrik Non Operating Interest 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=non-operating-interest-expenses&ticker=RBRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "RBRK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=RBRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();