Nerdy (NRDY) EPS (Diluted) (2021 - 2026)
Nerdy (NRDY) recorded EPS (Diluted) of -$0.55 in Q2 2026, compared with -$0.99 a year earlier.
Analysis
Nerdy (NRDY) EPS (Diluted) (2021 - 2026) Analysis & Trends
On a TTM basis, Nerdy's EPS (Diluted) came in at -$3.59 as of Jun 30, 2026; for FY2025, it was -$4.96.
- Across earlier years, EPS (Diluted) came in at -$5.72 in FY2024, -$6.20 in FY2023, -$6.18 in FY2022 and -$0.72 in FY2021.
- Quarterly EPS (Diluted) has ranged from -$4.03 in Q3 2021 to $3.31 in Q4 2021 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$0.49 (Q1 2026), -$1.15 (Q4 2025) and -$1.51 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.66 |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.03 |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 0.26 |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.03 |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -2.02 |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 0.66 |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 0.85 |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.14 |
| 10 | Nerdy | 107.68 Mn | -47.38 Mn | 27.98 Mn | -0.55 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.55 |
| Mar 31, 2026 | -0.49 |
| Dec 31, 2025 | -1.15 |
| Sep 30, 2025 | -1.51 |
| Jun 30, 2025 | -0.99 |
| Mar 31, 2025 | -1.33 |
| Dec 31, 2024 | -1.36 |
| Sep 30, 2024 | -2.11 |
| Jun 30, 2024 | -1.24 |
| Mar 31, 2024 | -1.03 |
| Dec 31, 2023 | -0.87 |
| Sep 30, 2023 | -1.90 |
| Jun 30, 2023 | -0.52 |
| Mar 31, 2023 | -3.09 |
| Dec 31, 2022 | -1.53 |
| Sep 30, 2022 | -3.17 |
| Jun 30, 2022 | 1.47 |
| Mar 31, 2022 | -3.17 |
| Dec 31, 2021 | 3.31 |
| Sep 30, 2021 | -4.03 |
API Access
Nerdy EPS (Diluted) 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=eps-diluted&ticker=NRDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=NRDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();