Alarm.com Holdings (ALRM) Cost of Revenue (2014 - 2026)
Alarm.com Holdings (ALRM) posted Cost of Revenue of $95.65 million for Q2 2026, up 9.4% from $87.46 million a year earlier and up 5.7% from the prior quarter.
Alarm.com Holdings (ALRM) Cost of Revenue (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Alarm.com Holdings was $362.76 million, up 8.6% year-over-year; for FY2025, it was $342.3 million, up 5.0% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- In prior years, Alarm.com Holdings' Cost of Revenue was $326.15 million in FY2024 (+0.3%), $325.16 million in FY2023 (-5.1%), $342.58 million in FY2022 (+12.0%) and $305.9 million in FY2021 (+34.5%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q2 2014.
- On a year-over-year basis, Cost of Revenue has increased in each of the last eight quarters, with growth averaging 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2021, with growth of 39.0%; the weakest was Q1 2023, with a decline of 15.4%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $90.51 million (Q1 2026), $89.04 million (Q4 2025) and $87.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | Alarm.com Holdings | 2.68 Bn | -277.02 Mn | 182.08 Mn | 95.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.65 Mn |
| Mar 31, 2026 | 90.51 Mn |
| Dec 31, 2025 | 89.04 Mn |
| Sep 30, 2025 | 87.56 Mn |
| Jun 30, 2025 | 87.46 Mn |
| Mar 31, 2025 | 78.23 Mn |
| Dec 31, 2024 | 83.60 Mn |
| Sep 30, 2024 | 84.75 Mn |
| Jun 30, 2024 | 81.28 Mn |
| Mar 31, 2024 | 76.52 Mn |
| Dec 31, 2023 | 81.22 Mn |
| Sep 30, 2023 | 81.41 Mn |
| Jun 30, 2023 | 86.37 Mn |
| Mar 31, 2023 | 76.17 Mn |
| Dec 31, 2022 | 79.57 Mn |
| Sep 30, 2022 | 85.59 Mn |
| Jun 30, 2022 | 87.34 Mn |
| Mar 31, 2022 | 90.09 Mn |
| Dec 31, 2021 | 82.39 Mn |
| Sep 30, 2021 | 80.38 Mn |
Alarm.com Holdings Cost of Revenue 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=cost-of-revenue&ticker=ALRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ALRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();