Alarm.com Holdings (ALRM) Capital Expenditures (2014 - 2026)
Alarm.com Holdings' Capital Expenditures came in at $4.85 million for Q2 2026, up 6.5% from $4.55 million a year earlier and up 431.5% from the prior quarter.
Alarm.com Holdings (ALRM) Capital Expenditures (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alarm.com Holdings reported Capital Expenditures of $11.37 million, down 27.8% year-over-year; for FY2025, it was $16.28 million, up 60.7% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $10.13 million in FY2024 (+34.8%), $7.52 million in FY2023 (-73.8%), $28.64 million in FY2022 (+158.9%) and $11.06 million in FY2021 (-31.5%).
- The five-year range for quarterly Capital Expenditures is -$158.78 million (Q4 2025) to $164.39 million (Q3 2025).
- Year-over-year, Capital Expenditures increased in five of the last six quarters, with growth averaging 32.9%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q2 2022 (growth of 913.5%), and the weakest in Q2 2023 (a decline of 95.9%).
- Business Quant data shows ALRM's Capital Expenditures at $912,000 (Q1 2026), -$158.78 million (Q4 2025) and $164.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Alarm.com Holdings | 2.64 Bn | -318.20 Mn | 182.08 Mn | 4.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.85 Mn |
| Mar 31, 2026 | 912,000.00 |
| Dec 31, 2025 | -158.78 Mn |
| Sep 30, 2025 | 164.39 Mn |
| Jun 30, 2025 | 4.55 Mn |
| Mar 31, 2025 | 6.12 Mn |
| Dec 31, 2024 | 2.27 Mn |
| Sep 30, 2024 | 2.81 Mn |
| Jun 30, 2024 | 1.99 Mn |
| Mar 31, 2024 | 3.07 Mn |
| Dec 31, 2023 | 2.17 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 995,000.00 |
| Mar 31, 2023 | 2.40 Mn |
| Dec 31, 2022 | 556,000.00 |
| Sep 30, 2022 | 1.78 Mn |
| Jun 30, 2022 | 24.13 Mn |
| Mar 31, 2022 | 2.17 Mn |
| Dec 31, 2021 | 2.12 Mn |
| Sep 30, 2021 | 1.56 Mn |
Alarm.com Holdings Capital Expenditures 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=capital-expenditures&ticker=ALRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "ALRM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=ALRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();