Alarm.com Holdings (ALRM) Goodwill & Intangibles (2014 - 2026)
Alarm.com Holdings (ALRM) posted Goodwill & Intangibles of $312.43 million for Q2 2026, up 27.6% from $244.82 million a year earlier but down 1.8% from the prior quarter.
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Analysis
Alarm.com Holdings (ALRM) Goodwill & Intangibles (2014 - 2026) Analysis & Trends
At the end of FY2025, Alarm.com Holdings' Goodwill & Intangibles came in at $324.34 million, up 49.2% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- In prior years, Alarm.com Holdings' Goodwill & Intangibles was $217.37 million in FY2024 (-6.7%), $233.06 million in FY2023 (+1.0%), $230.64 million in FY2022 (+12.9%) and $204.31 million in FY2021 (-5.5%).
- Quarterly Goodwill & Intangibles has run from a low of $195.17 million in Q2 2022 to a high of $324.34 million in Q4 2025 over five years.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last six quarters, with growth averaging 15.5% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q4 2025, with growth of 49.2%; the weakest was Q2 2024, with a decline of 7.3%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $318.13 million (Q1 2026), $324.34 million (Q4 2025) and $252.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Alarm.com Holdings | 2.68 Bn | -277.02 Mn | 182.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.43 Mn |
| Mar 31, 2026 | 318.13 Mn |
| Dec 31, 2025 | 324.34 Mn |
| Sep 30, 2025 | 252.92 Mn |
| Jun 30, 2025 | 244.82 Mn |
| Mar 31, 2025 | 248.32 Mn |
| Dec 31, 2024 | 217.37 Mn |
| Sep 30, 2024 | 220.71 Mn |
| Jun 30, 2024 | 224.28 Mn |
| Mar 31, 2024 | 228.79 Mn |
| Dec 31, 2023 | 233.06 Mn |
| Sep 30, 2023 | 236.35 Mn |
| Jun 30, 2023 | 241.84 Mn |
| Mar 31, 2023 | 240.93 Mn |
| Dec 31, 2022 | 230.64 Mn |
| Sep 30, 2022 | 237.98 Mn |
| Jun 30, 2022 | 195.17 Mn |
| Mar 31, 2022 | 199.73 Mn |
| Dec 31, 2021 | 204.31 Mn |
| Sep 30, 2021 | 203.38 Mn |
API Access
Alarm.com Holdings Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=ALRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=ALRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();