Alarm.com Holdings (ALRM) Non Operating Interest Expenses (2023 - 2026)
Alarm.com Holdings' Non Operating Interest Expenses came in at $3.54 million for Q2 2026, down 18.0% from $4.32 million a year earlier and down 3.5% from the prior quarter.
Alarm.com Holdings (ALRM) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alarm.com Holdings reported Non Operating Interest Expenses of $15.87 million, down 8.2% year-over-year; for FY2025, it came in at $17.29 million, up 51.4% from FY2024.
- Non Operating Interest Expenses has increased in each of the last three years, with a three-year compound annual growth rate of 76.5% (FY2022 to FY2025).
- Going back by year, Non Operating Interest Expenses was $11.43 million in FY2024 (+233.2%), $3.43 million in FY2023 (+9.1%) and $3.14 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Non Operating Interest Expenses since Q2 2024.
- Year-over-year, Non Operating Interest Expenses has declined for three consecutive quarters, with growth averaging 166.2% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2025 (growth of 442.0%), and the weakest in Q2 2026 (a decline of 18.0%).
- Business Quant data shows ALRM's Non Operating Interest Expenses at $3.67 million (Q1 2026), $4.33 million (Q4 2025) and $4.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -90.00 Mn |
| 10 | Alarm.com Holdings | 2.67 Bn | -287.31 Mn | 182.08 Mn | 3.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.54 Mn |
| Mar 31, 2026 | 3.67 Mn |
| Dec 31, 2025 | 4.33 Mn |
| Sep 30, 2025 | 4.33 Mn |
| Jun 30, 2025 | 4.32 Mn |
| Mar 31, 2025 | 4.31 Mn |
| Dec 31, 2024 | 4.35 Mn |
| Sep 30, 2024 | 4.32 Mn |
| Jun 30, 2024 | 1.97 Mn |
| Mar 31, 2024 | 796,000.00 |
| Dec 31, 2023 | 828,000.00 |
| Sep 30, 2023 | 906,000.00 |
| Jun 30, 2023 | 827,000.00 |
Alarm.com Holdings Non Operating Interest 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=non-operating-interest-expenses&ticker=ALRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ALRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();