N-able (NABL) Property, Plant & Equipment (Net) (2020 - 2026)
N-able's Property, Plant & Equipment (Net) was $43.37 million in Q2 2026, up 17.9% from $36.77 million a year earlier and up 13.8% from the prior quarter.
N-able (NABL) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at N-able came in at $38.39 million, up 5.0% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $36.56 million in FY2024 (-0.8%), $36.84 million in FY2023 (-1.5%), $37.4 million in FY2022 (-3.5%) and $38.75 million in FY2021 (+97.8%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for six straight quarters, with growth averaging 5.5% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2021 (growth of 97.8%); the worst was Q2 2024 (a decline of 9.4%).
- Per Business Quant data, NABL's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $38.12 million (Q1 2026), $38.39 million (Q4 2025) and $38.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | N-able | 800.96 Mn | 354.06 Mn | 106.20 Mn | 43.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.37 Mn |
| Mar 31, 2026 | 38.12 Mn |
| Dec 31, 2025 | 38.39 Mn |
| Sep 30, 2025 | 38.99 Mn |
| Jun 30, 2025 | 36.77 Mn |
| Mar 31, 2025 | 35.54 Mn |
| Dec 31, 2024 | 36.56 Mn |
| Sep 30, 2024 | 34.51 Mn |
| Jun 30, 2024 | 34.69 Mn |
| Mar 31, 2024 | 35.41 Mn |
| Dec 31, 2023 | 36.84 Mn |
| Sep 30, 2023 | 36.22 Mn |
| Jun 30, 2023 | 38.30 Mn |
| Mar 31, 2023 | 37.06 Mn |
| Dec 31, 2022 | 37.40 Mn |
| Sep 30, 2022 | 37.27 Mn |
| Jun 30, 2022 | 36.45 Mn |
| Mar 31, 2022 | 37.48 Mn |
| Dec 31, 2021 | 38.75 Mn |
| Sep 30, 2021 | 33.25 Mn |
N-able Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=NABL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();