Alarum Technologies (ALAR) EBITDA (2017 - 2026)
Alarum Technologies (ALAR) posted EBITDA of $2.1 million for Q1 2026, up 110.0% on a QoQ basis from $1.0 million in Q4 2025, and up 61.54% year-over-year from $1.3 million in Q1 2025.
Alarum Technologies (ALAR) EBITDA (2017 - 2026) Analysis & Trends
Alarum Technologies has reported EBITDA for 10 years, with the latest figure at $2.1 million in Q1 2026.
- On a quarterly basis, EBITDA rose 61.54% year-over-year to $2.1 million in Q1 2026; TTM through Mar 2026 was $4.3 million, a 37.78% decrease from a year earlier, with the FY2025 full-year figure at $4.4 million, down 53.19% from the prior year.
- EBITDA was $2.1 million for Q1 2026 at Alarum Technologies, up from $1.0 million in the prior quarter.
- The five-year high for EBITDA was $3.2 million in Q1 2024, with the low at -$8.3 million in Q2 2023.
- Average EBITDA over 5 years is -$77764.7, with a median of $1.2 million recorded in 2025.
- The sharpest annual moves came in 2023 and 2024: EBITDA tumbled 138.31% in 2023, then soared 3100.0% in 2024.
- Over 5 years, EBITDA stood at -$2.0 million in 2022, then surged by 210.0% to $2.2 million in 2023, then sank by 31.82% to $1.5 million in 2024, then plunged by 33.33% to $1.0 million in 2025, then surged by 110.0% to $2.1 million in 2026.
- The last three EBITDA figures came in at $2.1 million (Q1 2026), $1.0 million (Q4 2025), and $1.2 million (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Snowflake | 118.56 Bn | 116.21 Bn | 1.04 Bn | -262.97 Mn |
| 2 | MongoDB | 34.45 Bn | 32.04 Bn | 569.77 Mn | 28.40 Mn |
| 3 | Sportradar Group AG | 12.29 Bn | 11.92 Bn | 376.06 Mn | 88.65 Mn |
| 4 | Elastic | 9.39 Bn | 7.93 Bn | 356.19 Mn | -23.57 Mn |
| 5 | Genius Sports | 3.08 Bn | 2.92 Bn | 63.79 Mn | -55.57 Mn |
| 6 | Teradata | 2.74 Bn | 2.32 Bn | 243.00 Mn | 48.00 Mn |
| 7 | Datavault AI | 145.26 Mn | 145.26 Mn | 2.88 Mn | -26.46 Mn |
| 8 | Alarum Technologies | 139.67 Mn | 125.52 Mn | 7.23 Mn | 2.10 Mn |
| 9 | Intermap Technologies | 48.53 Mn | 32.35 Mn | - | -1.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.10 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 1.20 Mn |
| Jun 30, 2025 | -20,000.00 |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.40 Mn |
| Jun 30, 2024 | 2.68 Mn |
| Mar 31, 2024 | 3.20 Mn |
| Dec 31, 2023 | 2.20 Mn |
| Sep 30, 2023 | 1.90 Mn |
| Jun 30, 2023 | -8.26 Mn |
| Mar 31, 2023 | 100,000.00 |
| Dec 31, 2022 | -2.00 Mn |
| Sep 30, 2022 | -1.60 Mn |
| Jun 30, 2022 | -3.46 Mn |
| Mar 31, 2022 | -4.56 Mn |
| Dec 31, 2021 | -3.80 Mn |
| Sep 30, 2021 | -3.27 Mn |
| Jun 30, 2021 | -2.34 Mn |
Alarum Technologies EBITDA 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=ebitda&ticker=ALAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ALAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();