Alarm.com Holdings (ALRM) EBIT (2014 - 2026)
Alarm.com Holdings (ALRM) recorded EBIT of $32.48 million in Q2 2026, up 1.4% from $32.02 million a year earlier and up 2.7% from the prior quarter.
Alarm.com Holdings (ALRM) EBIT (2014 - 2026) Analysis & Trends
On a TTM basis, Alarm.com Holdings' EBIT came in at $136.1 million as of Jun 30, 2026, up 8.3% year-over-year; for FY2025, it was $133.64 million, up 23.1% from FY2024.
- Annual EBIT has increased for three straight years, with a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $108.55 million in FY2024 (+62.4%), $66.83 million in FY2023 (+30.9%), $51.04 million in FY2022 (-17.1%) and $61.57 million in FY2021 (+9.4%).
- Quarterly EBIT has ranged from $8.82 million in Q1 2023 to $37.02 million in Q3 2025 over the past five years.
- On a year-over-year basis, EBIT has increased for 11 consecutive quarters, with growth averaging 30.1% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 112.3% in Q1 2024, against a decline of 40.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.64 million (Q1 2026), $34.95 million (Q4 2025) and $37.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 172.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -33.23 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 689.30 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -262.97 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 5.46 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 46.78 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 107.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 444.11 Mn |
| 10 | Alarm.com Holdings | 2.64 Bn | -321.64 Mn | 182.08 Mn | 32.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.48 Mn |
| Mar 31, 2026 | 31.64 Mn |
| Dec 31, 2025 | 34.95 Mn |
| Sep 30, 2025 | 37.02 Mn |
| Jun 30, 2025 | 32.02 Mn |
| Mar 31, 2025 | 29.65 Mn |
| Dec 31, 2024 | 30.86 Mn |
| Sep 30, 2024 | 33.19 Mn |
| Jun 30, 2024 | 25.77 Mn |
| Mar 31, 2024 | 18.73 Mn |
| Dec 31, 2023 | 25.68 Mn |
| Sep 30, 2023 | 16.17 Mn |
| Jun 30, 2023 | 16.16 Mn |
| Mar 31, 2023 | 8.82 Mn |
| Dec 31, 2022 | 14.47 Mn |
| Sep 30, 2022 | 16.32 Mn |
| Jun 30, 2022 | 11.34 Mn |
| Mar 31, 2022 | 8.91 Mn |
| Dec 31, 2021 | 10.76 Mn |
| Sep 30, 2021 | 19.08 Mn |
Alarm.com Holdings EBIT 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=ebit&ticker=ALRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ALRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();