Alarm.com Holdings (ALRM) Research & Development (2014 - 2026)
Alarm.com Holdings' Research & Development was $71.01 million in Q2 2026, up 2.8% from $69.07 million a year earlier but down 1.5% from the prior quarter.
Alarm.com Holdings (ALRM) Research & Development (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alarm.com Holdings' Research & Development was $275.86 million through Jun 30, 2026, up 5.4% year-over-year; for FY2025, it came in at $270.23 million, up 5.6% from FY2024.
- Research & Development has now increased for 12 consecutive years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In earlier years, Research & Development was $255.88 million in FY2024 (+4.4%), $245.11 million in FY2023 (+12.1%), $218.64 million in FY2022 (+23.0%) and $177.71 million in FY2021 (+16.8%).
- Quarterly Research & Development has moved between $44.14 million (Q3 2021) and $72.06 million (Q1 2026) over five years.
- Compared with a year earlier, Research & Development has increased for 38 straight quarters, with growth averaging 4.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Research & Development ran from 1.1% in Q4 2024 to 25.9% in Q3 2022.
- Per Business Quant data, ALRM's Research & Development in the three quarters before Q2 2026 was $72.06 million (Q1 2026), $66.16 million (Q4 2025) and $66.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Alarm.com Holdings | 2.64 Bn | -321.64 Mn | 182.08 Mn | 71.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.01 Mn |
| Mar 31, 2026 | 72.06 Mn |
| Dec 31, 2025 | 66.16 Mn |
| Sep 30, 2025 | 66.64 Mn |
| Jun 30, 2025 | 69.07 Mn |
| Mar 31, 2025 | 68.37 Mn |
| Dec 31, 2024 | 61.97 Mn |
| Sep 30, 2024 | 62.22 Mn |
| Jun 30, 2024 | 65.73 Mn |
| Mar 31, 2024 | 65.96 Mn |
| Dec 31, 2023 | 61.27 Mn |
| Sep 30, 2023 | 61.01 Mn |
| Jun 30, 2023 | 60.92 Mn |
| Mar 31, 2023 | 61.91 Mn |
| Dec 31, 2022 | 57.41 Mn |
| Sep 30, 2022 | 55.58 Mn |
| Jun 30, 2022 | 54.16 Mn |
| Mar 31, 2022 | 51.49 Mn |
| Dec 31, 2021 | 47.61 Mn |
| Sep 30, 2021 | 44.14 Mn |
Alarm.com Holdings Research & Development 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=research-and-development&ticker=ALRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ALRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();