N-able (NABL) Gross Margin (2020 - 2026)
N-able's Gross Margin was 76.83% in Q2 2026, down 1.12 percentage points from 77.96% a year earlier but up 0.89 percentage points from the prior quarter.
N-able (NABL) Gross Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, N-able's Gross Margin was 76.50% through Jun 30, 2026, down 2.79 percentage points year-over-year; for FY2025, it was 76.94%, down 5.69 percentage points from FY2024.
- Gross Margin has now declined for four consecutive years, with a five-year change of -2.21 percentage points (FY2020 to FY2025).
- In earlier years, Gross Margin was 82.63% in FY2024 (-1.20 pp), 83.83% in FY2023 (-0.41 pp), 84.23% in FY2022 (-0.63 pp) and 84.87% in FY2021 (+5.72 pp).
- Quarterly Gross Margin has moved between 75.91% (Q4 2025) and 86.09% (Q3 2021) over five years.
- Compared with a year earlier, Gross Margin has declined for nine straight quarters, with an average year-over-year change of -3.65 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was Q3 2021 (a gain of 7.09 percentage points); the worst was Q1 2025 (a drop of 7.34 percentage points).
- Per Business Quant data, NABL's Gross Margin in the three quarters before Q2 2026 was 75.94% (Q1 2026), 75.91% (Q4 2025) and 77.32% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.06 Bn | 247.13 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 245.57 Bn | 225.98 Bn | 1.10 Bn | 74.57% |
| 3 | Fortinet | 127.54 Bn | 113.47 Bn | 1.64 Bn | 80.24% |
| 4 | Snowflake | 113.00 Bn | 100.32 Bn | 1.04 Bn | 67.02% |
| 5 | Datadog | 98.36 Bn | 80.00 Bn | 881.34 Mn | 78.59% |
| 6 | Zscaler | 36.88 Bn | 23.00 Bn | - | - |
| 7 | Okta | 36.35 Bn | 26.45 Bn | 641.00 Mn | 79.63% |
| 8 | Axon Enterprise | 31.94 Bn | 26.46 Bn | 546.45 Mn | 60.42% |
| 9 | MongoDB | 31.30 Bn | 21.77 Bn | 569.77 Mn | 73.83% |
| 10 | N-able | 915.81 Mn | 468.91 Mn | 106.20 Mn | 76.83% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.83% |
| Mar 31, 2026 | 75.94% |
| Dec 31, 2025 | 75.91% |
| Sep 30, 2025 | 77.32% |
| Jun 30, 2025 | 77.96% |
| Mar 31, 2025 | 76.51% |
| Dec 31, 2024 | 79.88% |
| Sep 30, 2024 | 83.02% |
| Jun 30, 2024 | 83.77% |
| Mar 31, 2024 | 83.85% |
| Dec 31, 2023 | 83.73% |
| Sep 30, 2023 | 83.86% |
| Jun 30, 2023 | 83.95% |
| Mar 31, 2023 | 83.76% |
| Dec 31, 2022 | 84.26% |
| Sep 30, 2022 | 83.85% |
| Jun 30, 2022 | 84.54% |
| Mar 31, 2022 | 84.30% |
| Dec 31, 2021 | 85.13% |
| Sep 30, 2021 | 86.09% |
N-able Gross Margin 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=gross-margin&ticker=NABL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();