N-able (NABL) Return on Capital Employed [ROCE] (2021 - 2026)
N-able (NABL) reported Return on Capital Employed [ROCE] of 4.09% for Q2 2026, down 0.16 percentage points from 4.25% a year earlier but up 0.58 percentage points from the prior quarter.
N-able (NABL) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, N-able posted Return on Capital Employed [ROCE] of 2.85%, down 4.59 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a four-year change of -0.46 percentage points (FY2021 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 7.44% in FY2024 (+0.67 pp), 6.77% in FY2023 (+2.06 pp), 4.71% in FY2022 (+1.40 pp) and 3.31% in FY2021.
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of 2.55% in Q3 2021 and a high of 7.94% in Q3 2024.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last six quarters, with an average year-over-year change of -1.73 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2024 (a gain of 2.09 percentage points); the low point was Q3 2025 (a drop of 4.87 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 3.51% (Q1 2026), 2.78% (Q4 2025) and 3.07% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | -1.83% |
| 10 | N-able | 817.96 Mn | 371.06 Mn | 106.20 Mn | 4.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.09% |
| Mar 31, 2026 | 3.51% |
| Dec 31, 2025 | 2.78% |
| Sep 30, 2025 | 3.07% |
| Jun 30, 2025 | 4.25% |
| Mar 31, 2025 | 5.31% |
| Dec 31, 2024 | 7.24% |
| Sep 30, 2024 | 7.94% |
| Jun 30, 2024 | 7.54% |
| Mar 31, 2024 | 7.05% |
| Dec 31, 2023 | 6.63% |
| Sep 30, 2023 | 6.05% |
| Jun 30, 2023 | 5.46% |
| Mar 31, 2023 | 4.96% |
| Dec 31, 2022 | 4.77% |
| Sep 30, 2022 | 4.26% |
| Jun 30, 2022 | 4.02% |
| Mar 31, 2022 | 3.93% |
| Dec 31, 2021 | 3.34% |
| Sep 30, 2021 | 2.55% |
N-able Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=NABL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();