Alarum Technologies (ALAR) Operating Expenses (2017 - 2026)
Alarum Technologies (ALAR) posted Operating Expenses of $6.4 million for Q1 2026, up 1.36% on a QoQ basis from $6.3 million in Q4 2025, and up 43.24% year-over-year from $4.5 million in Q1 2025.
Alarum Technologies (ALAR) Operating Expenses (2017 - 2026) Analysis & Trends
Alarum Technologies has reported Operating Expenses for 10 years, with the latest figure at $6.4 million in Q1 2026.
- On a quarterly basis, Operating Expenses rose 43.24% year-over-year to $6.4 million in Q1 2026; TTM through Mar 2026 was $25.6 million, a 44.59% increase from a year earlier, with the FY2025 full-year figure at $23.6 million, up 37.48% from the prior year.
- Operating Expenses was $6.4 million for Q1 2026 at Alarum Technologies, up from $6.3 million in the prior quarter.
- The five-year high for Operating Expenses was $12.8 million in Q2 2023, with the low at $3.6 million in Q4 2023.
- Average Operating Expenses over 5 years is $5.6 million, with a median of $5.0 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2024: Operating Expenses soared 174.45% in 2022, then plunged 67.49% in 2024.
- Over 5 years, Operating Expenses stood at $5.9 million in 2022, then plunged by 39.22% to $3.6 million in 2023, then surged by 38.15% to $4.9 million in 2024, then gained by 28.04% to $6.3 million in 2025, then climbed by 1.36% to $6.4 million in 2026.
- The last three Operating Expenses figures came in at $6.4 million (Q1 2026), $6.3 million (Q4 2025), and $7.4 million (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Snowflake | 118.56 Bn | 116.21 Bn | 1.04 Bn | 1.30 Bn |
| 2 | MongoDB | 34.45 Bn | 32.04 Bn | 569.77 Mn | 541.37 Mn |
| 3 | Sportradar Group AG | 12.29 Bn | 11.92 Bn | 376.06 Mn | 12.41 Mn |
| 4 | Elastic | 9.39 Bn | 7.93 Bn | 356.19 Mn | 379.76 Mn |
| 5 | Genius Sports | 3.08 Bn | 2.92 Bn | 63.79 Mn | 119.35 Mn |
| 6 | Teradata | 2.74 Bn | 2.32 Bn | 243.00 Mn | 195.00 Mn |
| 7 | Datavault AI | 145.26 Mn | 145.26 Mn | 2.88 Mn | 29.33 Mn |
| 8 | Alarum Technologies | 139.67 Mn | 125.52 Mn | 7.23 Mn | 6.42 Mn |
| 9 | Intermap Technologies | 48.53 Mn | 32.35 Mn | - | 3.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 6.42 Mn |
| Dec 31, 2025 | 6.33 Mn |
| Sep 30, 2025 | 7.37 Mn |
| Jun 30, 2025 | 5.45 Mn |
| Mar 31, 2025 | 4.48 Mn |
| Dec 31, 2024 | 4.95 Mn |
| Sep 30, 2024 | 4.10 Mn |
| Jun 30, 2024 | 4.15 Mn |
| Mar 31, 2024 | 3.99 Mn |
| Dec 31, 2023 | 3.58 Mn |
| Sep 30, 2023 | 3.71 Mn |
| Jun 30, 2023 | 12.78 Mn |
| Mar 31, 2023 | 4.24 Mn |
| Dec 31, 2022 | 5.89 Mn |
| Sep 30, 2022 | 4.98 Mn |
| Jun 30, 2022 | 6.08 Mn |
| Mar 31, 2022 | 6.68 Mn |
| Dec 31, 2021 | -7.91 Mn |
| Sep 30, 2021 | 6.17 Mn |
| Jun 30, 2021 | 3.14 Mn |
Alarum Technologies 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=ALAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ALAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();