Alarum Technologies (ALAR) EBITDA (2019 - 2024)
Alarum Technologies (ALAR) posted EBITDA of $1.21 million for the quarter ended Mar 31, 2026, up 126.8% from $533,000 a year earlier.
Alarum Technologies (ALAR) EBITDA (2019 - 2024) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EBITDA at Alarum Technologies was $4.89 million, down 25.1% year-over-year; for the year ended Dec 31, 2025, it came in at $907,000, down 89.0% from the prior year.
- In prior years, Alarum Technologies' EBITDA was $8.23 million in the year ended Dec 31, 2024, -$847,000 in the year ended Dec 31, 2023, -$10.69 million in the year ended Dec 31, 2022 and -$6.52 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 stands as the highest quarterly EBITDA since the quarter ended Jun 30, 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.66 Bn | 240.74 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 231.03 Bn | 211.43 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 125.34 Bn | 111.27 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 111.72 Bn | 99.03 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 91.05 Bn | 72.70 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Zscaler | 34.21 Bn | 20.33 Bn | - | - |
| 7 | Okta | 33.47 Bn | 23.56 Bn | 641.00 Mn | 166.00 Mn |
| 8 | Axon Enterprise | 32.07 Bn | 26.59 Bn | 546.45 Mn | 79.24 Mn |
| 9 | MongoDB | 28.81 Bn | 19.28 Bn | 569.77 Mn | 35.33 Mn |
| 10 | Alarum Technologies | 9.29 Mn | -46.31 Mn | 7.23 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 2.95 Mn |
| Mar 31, 2024 | 2.79 Mn |
| Dec 31, 2023 | 2.20 Mn |
| Sep 30, 2023 | 1.90 Mn |
| Jun 30, 2023 | -5.55 Mn |
| Mar 31, 2023 | -188,000.00 |
| Dec 31, 2022 | -2.00 Mn |
| Sep 30, 2022 | -1.60 Mn |
| Mar 31, 2022 | -4.13 Mn |
| Dec 31, 2021 | -3.80 Mn |
| Sep 30, 2021 | -3.27 Mn |
| Jun 30, 2020 | -1.39 Mn |
| Jun 30, 2019 | -1.81 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();