N-able (NABL) Other Operating Expenses (2020 - 2026)
N-able's Other Operating Expenses was $39.38 million in Q2 2026, up 3.2% from $38.17 million a year earlier and up 2.9% from the prior quarter.
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Analysis
N-able (NABL) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, N-able's Other Operating Expenses was $149.2 million through Jun 30, 2026, up 11.5% year-over-year; for FY2025, it came in at $146.5 million, up 22.4% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $119.72 million in FY2024 (-0.2%), $120 million in FY2023 (+1.8%), $117.91 million in FY2022 (+3.5%) and $113.93 million in FY2021 (+14.7%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q2 2020.
- Compared with a year earlier, Other Operating Expenses has increased for six straight quarters, with growth averaging 9.2% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q2 2025 (growth of 32.2%); the worst was Q2 2024 (a decline of 17.3%).
- Per Business Quant data, NABL's Other Operating Expenses in the three quarters before Q2 2026 was $38.28 million (Q1 2026), $35.25 million (Q4 2025) and $36.29 million (Q3 2025).
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 | 39.38 Mn |
| Mar 31, 2026 | 38.28 Mn |
| Dec 31, 2025 | 35.25 Mn |
| Sep 30, 2025 | 36.29 Mn |
| Jun 30, 2025 | 38.17 Mn |
| Mar 31, 2025 | 36.70 Mn |
| Dec 31, 2024 | 30.62 Mn |
| Sep 30, 2024 | 28.31 Mn |
| Jun 30, 2024 | 28.87 Mn |
| Mar 31, 2024 | 31.83 Mn |
| Dec 31, 2023 | 33.59 Mn |
| Sep 30, 2023 | 33.67 Mn |
| Jun 30, 2023 | 34.90 Mn |
| Mar 31, 2023 | 33.13 Mn |
| Dec 31, 2022 | 32.55 Mn |
| Sep 30, 2022 | 32.61 Mn |
| Jun 30, 2022 | 33.48 Mn |
| Mar 31, 2022 | 32.52 Mn |
| Dec 31, 2021 | 33.84 Mn |
| Sep 30, 2021 | 31.82 Mn |
API Access
N-able Other Operating Expenses 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=other-operating-expenses&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();