N-able (NABL) Amortization - Intangibles (2020 - 2026)
N-able's Amortization - Intangibles came in at $4.24 million for Q2 2026, up 0.2% from $4.23 million a year earlier but down 0.1% from the prior quarter.
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Analysis
N-able (NABL) Amortization - Intangibles (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, N-able reported Amortization - Intangibles of $18.95 million, up 68.1% year-over-year; for FY2025, it came in at $18.87 million, up 396.8% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of -17.1% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $3.8 million in FY2024 (+55.9%), $2.44 million in FY2023 (-70.8%), $8.33 million in FY2022 (-56.3%) and $19.07 million in FY2021 (-60.4%).
- The five-year range for quarterly Amortization - Intangibles is $456,000 (Q1 2023) to $14.31 million (Q4 2021).
- Year-over-year, Amortization - Intangibles has increased for eight consecutive quarters, with growth averaging 340.7% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q2 2025 (growth of 823.4%), and the weakest in Q3 2021 (a decline of 83.5%).
- Business Quant data shows NABL's Amortization - Intangibles at $4.24 million (Q1 2026), $6.23 million (Q4 2025) and $4.24 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 | N-able | 776.40 Mn | 329.51 Mn | 106.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.24 Mn |
| Mar 31, 2026 | 4.24 Mn |
| Dec 31, 2025 | 6.23 Mn |
| Sep 30, 2025 | 4.24 Mn |
| Jun 30, 2025 | 4.23 Mn |
| Mar 31, 2025 | 4.17 Mn |
| Dec 31, 2024 | 2.41 Mn |
| Sep 30, 2024 | 467,000.00 |
| Jun 30, 2024 | 458,000.00 |
| Mar 31, 2024 | 461,000.00 |
| Dec 31, 2023 | 1.05 Mn |
| Sep 30, 2023 | 463,000.00 |
| Jun 30, 2023 | 463,000.00 |
| Mar 31, 2023 | 456,000.00 |
| Dec 31, 2022 | 6.29 Mn |
| Sep 30, 2022 | 516,000.00 |
| Jun 30, 2022 | 545,000.00 |
| Mar 31, 2022 | 982,000.00 |
| Dec 31, 2021 | 14.31 Mn |
| Sep 30, 2021 | 1.02 Mn |
API Access
N-able Amortization - Intangibles 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=amortization-intangibles&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "NABL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();