Alarm.com Holdings (ALRM) Other Operating Expenses (2014 - 2026)
Alarm.com Holdings' Other Operating Expenses came in at $41.94 million for Q2 2026, up 8.5% from $38.67 million a year earlier but down 3.6% from the prior quarter.
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Analysis
Alarm.com Holdings (ALRM) Other Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alarm.com Holdings reported Other Operating Expenses of $165.83 million, up 12.9% year-over-year; for FY2025, it came in at $143.41 million, up 10.3% from FY2024.
- Other Operating Expenses has increased in each of the last 12 years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $130.07 million in FY2024 (+8.0%), $120.45 million in FY2023 (+7.5%), $112.02 million in FY2022 (+5.7%) and $105.98 million in FY2021 (+11.3%).
- The five-year range for quarterly Other Operating Expenses is $30.02 million (Q3 2021) to $43.53 million (Q1 2026).
- Year-over-year, Other Operating Expenses has increased for nine consecutive quarters, with growth averaging 11.5% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2026 (growth of 22.4%), and the weakest in Q1 2024 (a decline of 4.4%).
- Business Quant data shows ALRM's Other Operating Expenses at $43.53 million (Q1 2026), $43.07 million (Q4 2025) and $37.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Alarm.com Holdings | 2.67 Bn | -287.31 Mn | 182.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.94 Mn |
| Mar 31, 2026 | 43.53 Mn |
| Dec 31, 2025 | 43.07 Mn |
| Sep 30, 2025 | 37.29 Mn |
| Jun 30, 2025 | 38.67 Mn |
| Mar 31, 2025 | 35.57 Mn |
| Dec 31, 2024 | 38.04 Mn |
| Sep 30, 2024 | 34.62 Mn |
| Jun 30, 2024 | 34.92 Mn |
| Mar 31, 2024 | 32.79 Mn |
| Dec 31, 2023 | 33.89 Mn |
| Sep 30, 2023 | 31.81 Mn |
| Jun 30, 2023 | 31.63 Mn |
| Mar 31, 2023 | 34.32 Mn |
| Dec 31, 2022 | 31.31 Mn |
| Sep 30, 2022 | 30.64 Mn |
| Jun 30, 2022 | 30.71 Mn |
| Mar 31, 2022 | 30.95 Mn |
| Dec 31, 2021 | 31.97 Mn |
| Sep 30, 2021 | 30.02 Mn |
API Access
Alarm.com Holdings Other Operating Expenses 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=other-operating-expenses&ticker=ALRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ALRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();