N-able (NABL) Non-Current Debt (2021 - 2026)
N-able (NABL) posted Non-Current Debt of $388.33 million for Q2 2026, up 18.2% from $328.64 million a year earlier but down 0.2% from the prior quarter.
N-able (NABL) Non-Current Debt (2021 - 2026) Analysis & Trends
At the end of FY2025, N-able's Non-Current Debt came in at $389.87 million, up 18.3% from FY2024.
- Annual Non-Current Debt shows a four-year compound annual growth rate of 3.8% (FY2021 to FY2025).
- In prior years, N-able's Non-Current Debt was $329.61 million in FY2024 (-0.6%), $331.51 million in FY2023 (-0.6%), $333.49 million in FY2022 (-0.6%) and $335.38 million in FY2021.
- Quarterly Non-Current Debt has run from a low of $328.16 million in Q3 2025 to a high of $389.87 million in Q4 2025 over five years.
- On a year-over-year basis, Non-Current Debt has increased in each of the last three quarters, with growth averaging 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q4 2025, with growth of 18.3%; the weakest was Q4 2023, with a decline of 0.6%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $389.1 million (Q1 2026), $389.87 million (Q4 2025) and $328.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.66 Bn | 245.74 Bn | 2.30 Bn | -160.00 Mn |
| 2 | CrowdStrike Holdings | 240.51 Bn | 220.92 Bn | 1.10 Bn | 746.22 Mn |
| 3 | Fortinet | 126.28 Bn | 112.21 Bn | 1.64 Bn | 496.90 Mn |
| 4 | Snowflake | 112.57 Bn | 99.89 Bn | 1.04 Bn | - |
| 5 | Datadog | 97.27 Bn | 78.91 Bn | 881.34 Mn | - |
| 6 | Zscaler | 36.36 Bn | 22.48 Bn | - | - |
| 7 | Okta | 35.44 Bn | 25.54 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 31.71 Bn | 26.24 Bn | 546.45 Mn | 1.73 Bn |
| 9 | MongoDB | 29.93 Bn | 20.40 Bn | 569.77 Mn | -1.79 Mn |
| 10 | N-able | 929.01 Mn | 482.12 Mn | 106.20 Mn | 388.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 388.33 Mn |
| Mar 31, 2026 | 389.10 Mn |
| Dec 31, 2025 | 389.87 Mn |
| Sep 30, 2025 | 328.16 Mn |
| Jun 30, 2025 | 328.64 Mn |
| Mar 31, 2025 | 329.12 Mn |
| Dec 31, 2024 | 329.61 Mn |
| Sep 30, 2024 | 330.08 Mn |
| Jun 30, 2024 | 330.56 Mn |
| Mar 31, 2024 | 331.03 Mn |
| Dec 31, 2023 | 331.51 Mn |
| Sep 30, 2023 | 331.98 Mn |
| Jun 30, 2023 | 332.45 Mn |
| Mar 31, 2023 | 333.01 Mn |
| Dec 31, 2022 | 333.49 Mn |
| Sep 30, 2022 | 333.96 Mn |
| Jun 30, 2022 | 334.43 Mn |
| Mar 31, 2022 | 334.90 Mn |
| Dec 31, 2021 | 335.38 Mn |
| Sep 30, 2021 | 335.85 Mn |
N-able Non-Current Debt 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=non-current-debt&ticker=NABL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();