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 | 260.09 Bn | 245.16 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - | - |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn | 21.05 Mn |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn | 2.47 Mn |
| 10 | Alarm.com Holdings | 2.93 Bn | -72.45 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 | -174.20 Mn |
| Sep 30, 2025 | 179.81 Mn |
| Jun 30, 2025 | 4.55 Mn |
| Mar 31, 2025 | 6.12 Mn |
| Dec 31, 2024 | -4.78 Mn |
| Sep 30, 2024 | 6.91 Mn |
| Jun 30, 2024 | 4.94 Mn |
| Mar 31, 2024 | 3.07 Mn |
| Dec 31, 2023 | 1.97 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 995,000.00 |
| Mar 31, 2023 | 2.60 Mn |
| Dec 31, 2022 | 5.71 Mn |
| 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();