Alarum Technologies (ALAR) Other Operating Expenses (2018 - 2026)
Alarum Technologies (ALAR) posted Other Operating Expenses of $2.3 million for Q1 2026, up 23.58% on a QoQ basis from $1.9 million in Q4 2025, and up 67.96% year-over-year from $1.4 million in Q1 2025.
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Analysis
Alarum Technologies (ALAR) Other Operating Expenses (2018 - 2026) Analysis & Trends
Alarum Technologies has reported Other Operating Expenses for 9 years, with the latest figure at $2.3 million in Q1 2026.
- On a quarterly basis, Other Operating Expenses rose 67.96% year-over-year to $2.3 million in Q1 2026; TTM through Mar 2026 was $8.5 million, a 74.62% increase from a year earlier, with the FY2025 full-year figure at $7.5 million, up 7.01% from the prior year.
- Other Operating Expenses was $2.3 million for Q1 2026 at Alarum Technologies, up from $1.9 million in the prior quarter.
- The five-year high for Other Operating Expenses was $7.2 million in Q2 2023, with the low at $795000.0 in Q4 2023.
- Average Other Operating Expenses over 5 years is $2.2 million, with a median of $1.8 million recorded in 2025.
- The sharpest annual moves came in 2022 and 2024: Other Operating Expenses surged 170.41% in 2022, then plunged 84.42% in 2024.
- Over 5 years, Other Operating Expenses stood at $3.5 million in 2022, then slumped by 77.28% to $795000.0 in 2023, then jumped by 52.2% to $1.2 million in 2024, then surged by 53.88% to $1.9 million in 2025, then advanced by 23.58% to $2.3 million in 2026.
- The last three Other Operating Expenses figures came in at $2.3 million (Q1 2026), $1.9 million (Q4 2025), and $2.5 million (Q3 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Snowflake | 118.56 Bn | 116.21 Bn | 1.04 Bn |
| 2 | MongoDB | 34.45 Bn | 32.04 Bn | 569.77 Mn |
| 3 | Sportradar Group AG | 12.29 Bn | 11.92 Bn | 376.06 Mn |
| 4 | Elastic | 9.39 Bn | 7.93 Bn | 356.19 Mn |
| 5 | Genius Sports | 3.08 Bn | 2.92 Bn | 63.79 Mn |
| 6 | Teradata | 2.74 Bn | 2.32 Bn | 243.00 Mn |
| 7 | Datavault AI | 145.26 Mn | 145.26 Mn | 2.88 Mn |
| 8 | Alarum Technologies | 139.67 Mn | 125.52 Mn | 7.23 Mn |
| 9 | Intermap Technologies | 48.53 Mn | 32.35 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.30 Mn |
| Dec 31, 2025 | 1.86 Mn |
| Sep 30, 2025 | 2.51 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 1.37 Mn |
| Dec 31, 2024 | 1.21 Mn |
| Sep 30, 2024 | 1.14 Mn |
| Jun 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 1.02 Mn |
| Dec 31, 2023 | 795,000.00 |
| Sep 30, 2023 | 814,000.00 |
| Jun 30, 2023 | 7.20 Mn |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 3.50 Mn |
| Sep 30, 2022 | 2.95 Mn |
| Jun 30, 2022 | 3.19 Mn |
| Mar 31, 2022 | 3.03 Mn |
| Dec 31, 2021 | -12.32 Mn |
| Sep 30, 2021 | 3.11 Mn |
| Jun 30, 2021 | 1.31 Mn |
API Access
Alarum Technologies Other 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=other-operating-expenses&ticker=ALAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=ALAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();