N-able (NABL) Return on Sales [ROS] (2020 - 2026)
N-able's Return on Sales [ROS] was 11.92% in Q2 2026, up 4.78 percentage points from 7.14% a year earlier and up 3.57 percentage points from the prior quarter.
Powered by 
Analysis
N-able (NABL) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, N-able's Return on Sales [ROS] was 9.50% through Jun 30, 2026, down 1.24 percentage points year-over-year; for FY2025, it was 6.66%, down 10.93 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -4.49 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 17.59% in FY2024 (+0.92 pp), 16.67% in FY2023 (+3.92 pp), 12.75% in FY2022 (+3.13 pp) and 9.62% in FY2021 (-1.53 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -4.33 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2021 (a gain of 8.86 percentage points); the worst was Q1 2025 (a drop of 16.44 percentage points).
- Per Business Quant data, NABL's Return on Sales [ROS] in the three quarters before Q2 2026 was 8.35% (Q1 2026), 9.33% (Q4 2025) and 8.29% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 9.62% |
| 10 | N-able | 817.96 Mn | 371.06 Mn | 106.20 Mn | 11.92% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.92% |
| Mar 31, 2026 | 8.35% |
| Dec 31, 2025 | 9.33% |
| Sep 30, 2025 | 8.29% |
| Jun 30, 2025 | 7.14% |
| Mar 31, 2025 | 1.41% |
| Dec 31, 2024 | 13.76% |
| Sep 30, 2024 | 21.16% |
| Jun 30, 2024 | 17.56% |
| Mar 31, 2024 | 17.84% |
| Dec 31, 2023 | 20.11% |
| Sep 30, 2023 | 17.06% |
| Jun 30, 2023 | 14.93% |
| Mar 31, 2023 | 14.35% |
| Dec 31, 2022 | 14.94% |
| Sep 30, 2022 | 12.53% |
| Jun 30, 2022 | 11.24% |
| Mar 31, 2022 | 12.18% |
| Dec 31, 2021 | 9.49% |
| Sep 30, 2021 | 11.05% |
API Access
N-able Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();