Alarum Technologies (ALAR) EBITDA Margin (2017 - 2026)
Alarum Technologies (ALAR) posted EBITDA Margin of 17.93% for Q1 2026, up 111.95% on a QoQ basis from 8.46% in Q4 2025, and down 29.0% year-over-year from 25.26% in Q1 2025.
Alarum Technologies (ALAR) EBITDA Margin (2017 - 2026) Analysis & Trends
Alarum Technologies has reported EBITDA Margin for 10 years, with the latest figure at 17.93% in Q1 2026.
- On a quarterly basis, EBITDA Margin fell 29.0% year-over-year to 17.93% in Q1 2026; TTM through Mar 2026 was 9.44%, a 1305.0% decrease from a year earlier, with the FY2025 full-year figure at 10.8%, down 1874.0% from the prior year.
- EBITDA Margin was 17.93% for Q1 2026 at Alarum Technologies, up from 8.46% in the prior quarter.
- The five-year high for EBITDA Margin was 38.2% in Q1 2024, with the low at 118.18% in Q2 2023.
- Average EBITDA Margin over 5 years is 9.06%, with a median of 9.22% recorded in 2025.
- The sharpest annual moves came in 2023 and 2024: EBITDA Margin plunged 4567 bps in 2023, then surged 14834 bps in 2024.
- Over 5 years, EBITDA Margin stood at 39.02% in 2022, then soared by 179 bps to 30.96% in 2023, then plunged by 34 bps to 20.35% in 2024, then sank by 58 bps to 8.46% in 2025, then jumped by 112 bps to 17.93% in 2026.
- The last three EBITDA Margin figures came in at 17.93% (Q1 2026), 8.46% (Q4 2025), and 9.22% (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.27 Bn | 302.20 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 256.05 Bn | 251.07 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 127.84 Bn | 123.77 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 118.56 Bn | 116.21 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 88.83 Bn | 83.85 Bn | 881.34 Mn | 0.49% |
| 6 | Axon Enterprise | 37.31 Bn | 36.64 Bn | 546.45 Mn | 5.17% |
| 7 | MongoDB | 34.45 Bn | 32.04 Bn | 569.77 Mn | 3.68% |
| 8 | Zscaler | 34.27 Bn | 30.80 Bn | - | - |
| 9 | Okta | 32.86 Bn | 30.56 Bn | 641.00 Mn | 13.29% |
| 10 | Alarum Technologies | 139.67 Mn | 125.52 Mn | 7.23 Mn | 17.93% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 17.93% |
| Dec 31, 2025 | 8.46% |
| Sep 30, 2025 | 9.22% |
| Jun 30, 2025 | -0.23% |
| Mar 31, 2025 | 18.23% |
| Dec 31, 2024 | 20.35% |
| Sep 30, 2024 | 19.46% |
| Jun 30, 2024 | 30.16% |
| Mar 31, 2024 | 38.20% |
| Dec 31, 2023 | 30.96% |
| Sep 30, 2023 | 28.15% |
| Jun 30, 2023 | -118.18% |
| Mar 31, 2023 | 1.76% |
| Dec 31, 2022 | -39.02% |
| Sep 30, 2022 | -33.56% |
| Jun 30, 2022 | -72.51% |
| Mar 31, 2022 | -113.45% |
| Dec 31, 2021 | -100.72% |
| Sep 30, 2021 | -96.71% |
| Jun 30, 2021 | -131.05% |
Alarum Technologies EBITDA Margin 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-margin&ticker=ALAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=ALAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();