N-able (NABL) Exchange Rate Effect (2020 - 2026)
N-able (NABL) recorded Exchange Rate Effect of -$1.4 million in Q2 2026, compared with $386,000 a year earlier.
Analysis
N-able (NABL) Exchange Rate Effect (2020 - 2026) Analysis & Trends
On a TTM basis, N-able's Exchange Rate Effect came in at -$4.18 million as of Jun 30, 2026; for FY2025, it came in at $3.02 million.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- Across earlier years, Exchange Rate Effect came in at -$2.27 million in FY2024, $1.62 million in FY2023 (+23.8%), $1.31 million in FY2022 and -$1.24 million in FY2021.
- Quarterly Exchange Rate Effect has ranged from -$5.2 million in Q4 2024 to $4.54 million in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$2.83 million (Q1 2026), -$4.48 million (Q4 2025) and $4.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | -5.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | -1.73 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | - |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | -1.86 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 782,000.00 |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | -3.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | -2.45 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -31.00 Mn |
| 10 | N-able | 793.40 Mn | 346.51 Mn | 106.20 Mn | -1.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.40 Mn |
| Mar 31, 2026 | -2.83 Mn |
| Dec 31, 2025 | -4.48 Mn |
| Sep 30, 2025 | 4.54 Mn |
| Jun 30, 2025 | 386,000.00 |
| Mar 31, 2025 | 2.58 Mn |
| Dec 31, 2024 | -5.20 Mn |
| Sep 30, 2024 | 2.78 Mn |
| Jun 30, 2024 | 1.11 Mn |
| Mar 31, 2024 | -962,000.00 |
| Dec 31, 2023 | 2.79 Mn |
| Sep 30, 2023 | -988,000.00 |
| Jun 30, 2023 | -321,000.00 |
| Mar 31, 2023 | 138,000.00 |
| Dec 31, 2022 | 3.20 Mn |
| Sep 30, 2022 | -382,000.00 |
| Jun 30, 2022 | -766,000.00 |
| Mar 31, 2022 | -738,000.00 |
| Dec 31, 2021 | 342,000.00 |
| Sep 30, 2021 | -1.15 Mn |
API Access
N-able Exchange Rate Effect 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=exchange-rate-effect&ticker=NABL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();