Nerdy (NRDY) Amortizatization of Intangibles (2020 - 2026)
Nerdy (NRDY) recorded Amortizatization of Intangibles of $99,000 in Q2 2026, down 37.3% from $158,000 a year earlier and down 37.3% from the prior quarter.
Nerdy (NRDY) Amortizatization of Intangibles (2020 - 2026) Analysis & Trends
On a TTM basis, Nerdy's Amortizatization of Intangibles came in at $572,000 as of Jun 30, 2026, down 7.6% year-over-year; for FY2025, it was $625,000, up 1.8% from FY2024.
- Annual Amortizatization of Intangibles has increased for three straight years, though with a five-year compound annual growth rate of -9.8% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $614,000 in FY2024 (+1.3%), $606,000 in FY2023 (+0.7%), $602,000 in FY2022 (-43.7%) and $1.07 million in FY2021 (+2.2%).
- The Q2 2026 figure is the lowest quarterly Amortizatization of Intangibles in data going back to Q4 2020.
- On a year-over-year basis, Amortizatization of Intangibles rose in six of the last eight quarters, with an average decline of 2.9%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 4.1% in Q3 2023, against a decline of 45.5% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $158,000 (Q1 2026), $157,000 (Q4 2025) and $158,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | - |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | - |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | - |
| 10 | Nerdy | 98.36 Mn | -56.70 Mn | 27.98 Mn | 99,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99,000.00 |
| Mar 31, 2026 | 158,000.00 |
| Dec 31, 2025 | 157,000.00 |
| Sep 30, 2025 | 158,000.00 |
| Jun 30, 2025 | 158,000.00 |
| Mar 31, 2025 | 152,000.00 |
| Dec 31, 2024 | 154,000.00 |
| Sep 30, 2024 | 155,000.00 |
| Jun 30, 2024 | 153,000.00 |
| Mar 31, 2024 | 152,000.00 |
| Dec 31, 2023 | 152,000.00 |
| Sep 30, 2023 | 152,000.00 |
| Jun 30, 2023 | 152,000.00 |
| Mar 31, 2023 | 150,000.00 |
| Dec 31, 2022 | 148,000.00 |
| Sep 30, 2022 | 146,000.00 |
| Jun 30, 2022 | 151,000.00 |
| Mar 31, 2022 | 157,000.00 |
| Dec 31, 2021 | 265,000.00 |
| Sep 30, 2021 | 268,000.00 |
Nerdy Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=NRDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "NRDY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=NRDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();