Alarm.com Holdings (ALRM) Total Non-Current Liabilities (2014 - 2026)
Alarm.com Holdings (ALRM) posted Total Non-Current Liabilities of $780.87 million for Q2 2026, down 39.3% from $1.29 billion a year earlier but up 1.1% from the prior quarter.
Alarm.com Holdings (ALRM) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Alarm.com Holdings' Total Non-Current Liabilities came in at $209.87 million.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- In prior years, Alarm.com Holdings' Total Non-Current Liabilities was $239,000 in FY2024 (-100.0%), $738.32 million in FY2023 (+2.9%), $717.47 million in FY2022 (+17.8%) and $609.3 million in FY2021 (+137.0%).
- Quarterly Total Non-Current Liabilities has run from a low of $239,000 in Q4 2024 to a high of $1.3 billion in Q1 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last seven quarters, with an average decline of 3.4%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 137.0%; the weakest was Q4 2024, with a decline of 100.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $772.09 million (Q1 2026), $209.87 million (Q4 2025) and $1.28 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Alarm.com Holdings | 2.64 Bn | -318.20 Mn | 182.08 Mn | 780.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 780.87 Mn |
| Mar 31, 2026 | 772.09 Mn |
| Dec 31, 2025 | 209.87 Mn |
| Sep 30, 2025 | 1.28 Bn |
| Jun 30, 2025 | 1.29 Bn |
| Mar 31, 2025 | 1.30 Bn |
| Dec 31, 2024 | 239,000.00 |
| Sep 30, 2024 | 1.27 Bn |
| Jun 30, 2024 | 1.20 Bn |
| Mar 31, 2024 | 747.19 Mn |
| Dec 31, 2023 | 738.32 Mn |
| Sep 30, 2023 | 730.73 Mn |
| Jun 30, 2023 | 722.98 Mn |
| Mar 31, 2023 | 718.80 Mn |
| Dec 31, 2022 | 717.47 Mn |
| Sep 30, 2022 | 704.39 Mn |
| Jun 30, 2022 | 688.21 Mn |
| Mar 31, 2022 | 652.32 Mn |
| Dec 31, 2021 | 609.30 Mn |
| Sep 30, 2021 | 576.05 Mn |
Alarm.com Holdings Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ALRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ALRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();