N-able (NABL) Cost of Revenue (2020 - 2026)
N-able's Cost of Revenue was $32.02 million in Q2 2026, up 11.3% from $28.77 million a year earlier and up 0.6% from the prior quarter.
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Analysis
N-able (NABL) Cost of Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, N-able's Cost of Revenue was $124.72 million through Jun 30, 2026, up 24.9% year-over-year; for FY2025, it came in at $117.36 million, up 45.1% from FY2024.
- Cost of Revenue has now increased for four consecutive years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $80.87 million in FY2024 (+18.5%), $68.27 million in FY2023 (+16.5%), $58.61 million in FY2022 (+11.8%) and $52.43 million in FY2021 (-17.0%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2020.
- Compared with a year earlier, Cost of Revenue has increased for 18 straight quarters, with growth averaging 32.1% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2025 (growth of 51.3%); the worst was Q3 2021 (a decline of 23.2%).
- Per Business Quant data, NABL's Cost of Revenue in the three quarters before Q2 2026 was $31.84 million (Q1 2026), $31.12 million (Q4 2025) and $29.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | N-able | 800.96 Mn | 354.06 Mn | 106.20 Mn | 32.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.02 Mn |
| Mar 31, 2026 | 31.84 Mn |
| Dec 31, 2025 | 31.12 Mn |
| Sep 30, 2025 | 29.73 Mn |
| Jun 30, 2025 | 28.77 Mn |
| Mar 31, 2025 | 27.73 Mn |
| Dec 31, 2024 | 23.38 Mn |
| Sep 30, 2024 | 19.95 Mn |
| Jun 30, 2024 | 19.21 Mn |
| Mar 31, 2024 | 18.34 Mn |
| Dec 31, 2023 | 17.68 Mn |
| Sep 30, 2023 | 17.36 Mn |
| Jun 30, 2023 | 17.02 Mn |
| Mar 31, 2023 | 16.21 Mn |
| Dec 31, 2022 | 15.08 Mn |
| Sep 30, 2022 | 15.10 Mn |
| Jun 30, 2022 | 14.17 Mn |
| Mar 31, 2022 | 14.26 Mn |
| Dec 31, 2021 | 13.31 Mn |
| Sep 30, 2021 | 12.30 Mn |
API Access
N-able Cost of Revenue 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=cost-of-revenue&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();