Alarum Technologies (ALAR) Operating Leases (2019 - 2026)
Alarum Technologies (ALAR) posted Operating Leases of $1.77 million for the quarter ended Mar 31, 2026, up 850.0% from $186,000 a year earlier but down 9.2% from the prior quarter.
Alarum Technologies (ALAR) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Alarum Technologies' Operating Leases came in at $1.95 million, up 646.0% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of 39.8% (years ended Dec 2020 to Dec 2025).
- In prior years, Alarum Technologies' Operating Leases was $261,000 in the year ended Dec 31, 2024 (-50.1%), $523,000 in the year ended Dec 31, 2023, $13,000 in the year ended Dec 31, 2022 (-93.4%) and $197,000 in the year ended Dec 31, 2021 (-46.0%).
- Quarterly Operating Leases has run from a low of $8,000 in the quarter ended Mar 31, 2023 to a high of $347 million in the quarter ended Jun 30, 2021 over five years.
- On a year-over-year basis, Operating Leases increased in two of the last seven quarters, with growth averaging 172.1%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Mar 31, 2026, with growth of 850.0%; the weakest was the quarter ended Jun 30, 2022, with a decline of 100.0%.
- According to Business Quant data, Operating Leases for the three prior quarters was $1.95 million (quarter ended Dec 31, 2025), $2.2 million (quarter ended Sep 30, 2025) and $23,000 (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 254.14 Bn | 239.21 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 229.30 Bn | 209.71 Bn | 1.10 Bn |
| 3 | Fortinet | 124.83 Bn | 110.76 Bn | 1.64 Bn |
| 4 | Snowflake | 111.80 Bn | 99.12 Bn | 1.04 Bn |
| 5 | Datadog | 90.61 Bn | 72.25 Bn | 881.34 Mn |
| 6 | Zscaler | 34.28 Bn | 20.40 Bn | - |
| 7 | Okta | 33.45 Bn | 23.55 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 32.13 Bn | 26.65 Bn | 546.45 Mn |
| 9 | MongoDB | 28.85 Bn | 19.32 Bn | 569.77 Mn |
| 10 | Alarum Technologies | 8.77 Mn | -46.84 Mn | 7.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.77 Mn |
| Dec 31, 2025 | 1.95 Mn |
| Sep 30, 2025 | 2.20 Mn |
| Jun 30, 2025 | 23,000.00 |
| Mar 31, 2025 | 186,000.00 |
| Dec 31, 2024 | 261,000.00 |
| Sep 30, 2024 | 82,000.00 |
| Jun 30, 2024 | 398,000.00 |
| Mar 31, 2024 | 462,000.00 |
| Dec 31, 2023 | 523,000.00 |
| Sep 30, 2023 | 573,000.00 |
| Jun 30, 2023 | 405,000.00 |
| Mar 31, 2023 | 8,000.00 |
| Dec 31, 2022 | 13,000.00 |
| Sep 30, 2022 | 36,000.00 |
| Jun 30, 2022 | 88,000.00 |
| Mar 31, 2022 | 159,000.00 |
| Dec 31, 2021 | 197,000.00 |
| Sep 30, 2021 | 273,000.00 |
| Jun 30, 2021 | 347,000.00 |
Alarum Technologies Operating Leases 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-leases&ticker=ALAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=ALAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();