Alarm.com Holdings (ALRM) Cash & Equivalents (2014 - 2026)
Alarm.com Holdings (ALRM) recorded Cash & Equivalents of $479.42 million in Q2 2026, down 53.2% from $1.02 billion a year earlier and down 3.6% from the prior quarter.
Alarm.com Holdings (ALRM) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, Alarm.com Holdings reported Cash & Equivalents of $960.58 million, down 21.3% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 30.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $1.22 billion in FY2024 (+75.1%), $696.98 million in FY2023 (+12.0%), $622.17 million in FY2022 (-12.4%) and $710.62 million in FY2021 (+180.4%).
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q4 2020.
- On a year-over-year basis, Cash & Equivalents has declined for five consecutive quarters, with growth averaging 7.2% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 183.3% in Q3 2021, against a decline of 58.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $497.45 million (Q1 2026), $960.58 million (Q4 2025) and $1.07 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 928.35 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Alarm.com Holdings | 2.68 Bn | -277.02 Mn | 182.08 Mn | 479.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 479.42 Mn |
| Mar 31, 2026 | 497.45 Mn |
| Dec 31, 2025 | 960.58 Mn |
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 1.02 Bn |
| Mar 31, 2025 | 1.19 Bn |
| Dec 31, 2024 | 1.22 Bn |
| Sep 30, 2024 | 1.17 Bn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 747.88 Mn |
| Dec 31, 2023 | 696.98 Mn |
| Sep 30, 2023 | 679.97 Mn |
| Jun 30, 2023 | 627.04 Mn |
| Mar 31, 2023 | 606.43 Mn |
| Dec 31, 2022 | 622.17 Mn |
| Sep 30, 2022 | 621.35 Mn |
| Jun 30, 2022 | 643.38 Mn |
| Mar 31, 2022 | 671.75 Mn |
| Dec 31, 2021 | 710.62 Mn |
| Sep 30, 2021 | 700.31 Mn |
Alarm.com Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=ALRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ALRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();