Alarum Technologies (ALAR) Non Operating Interest Expenses (2017 - 2025)
Alarum Technologies (ALAR) posted Non Operating Interest Expenses of -$73000.0 for Q2 2025, down 136.5% on a QoQ basis from $200000.0 in Q1 2025.
Alarum Technologies (ALAR) Non Operating Interest Expenses (2017 - 2025) Analysis & Trends
Alarum Technologies has reported Non Operating Interest Expenses for 5 years, with the latest figure at -$73000.0 in Q2 2025.
- On a quarterly basis, Non Operating Interest Expenses changed N/A year-over-year to -$73000.0 in Q2 2025; TTM through Jun 2025 was $215000.0, a N/A change from a year earlier, with the FY2025 full-year figure at $1.3 million, up 352.92% from the prior year.
- Non Operating Interest Expenses was -$73000.0 for Q2 2025 at Alarum Technologies, down from $200000.0 in the prior quarter.
- The five-year high for Non Operating Interest Expenses was $200000.0 in Q1 2025, with the low at -$73000.0 in Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Snowflake | 118.56 Bn | 116.21 Bn | 1.04 Bn | 2.08 Mn |
| 2 | MongoDB | 34.45 Bn | 32.04 Bn | 569.77 Mn | 924,000.00 |
| 3 | Sportradar Group AG | 12.29 Bn | 11.92 Bn | 376.06 Mn | -27.17 Mn |
| 4 | Elastic | 9.39 Bn | 7.93 Bn | 356.19 Mn | 6.28 Mn |
| 5 | Genius Sports | 3.08 Bn | 2.92 Bn | 63.79 Mn | 2.82 Mn |
| 6 | Teradata | 2.74 Bn | 2.32 Bn | 243.00 Mn | 6.00 Mn |
| 7 | Datavault AI | 145.26 Mn | 145.26 Mn | 2.88 Mn | 1.00 Mn |
| 8 | Alarum Technologies | 139.67 Mn | 125.52 Mn | 7.23 Mn | - |
| 9 | Intermap Technologies | 48.53 Mn | 32.35 Mn | - | -38,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -73,000.00 |
| Mar 31, 2025 | 200,000.00 |
| Jun 30, 2020 | -3,000.00 |
| Jun 12, 2019 | 91,000.00 |
| Dec 31, 2018 | 85,000.00 |
| Sep 30, 2018 | -2.54 Mn |
| Jun 30, 2018 | -67,000.00 |
| Dec 31, 2017 | 2.92 Mn |
| Sep 30, 2017 | -235,000.00 |
| Jun 30, 2017 | -362,000.00 |
Alarum Technologies 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=ALAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ALAR", "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=ALAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();