Nerdy (NRDY) Selling, General & Administrative (2020 - 2026)
Nerdy's Selling, General & Administrative came in at $22.89 million for Q2 2026, down 13.9% from $26.57 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Nerdy (NRDY) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nerdy reported Selling, General & Administrative of $97.34 million, down 16.6% year-over-year; for FY2025, it came in at $105.52 million, down 16.8% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $126.88 million in FY2024 (+1.0%), $125.57 million in FY2023 (-3.1%), $129.56 million in FY2022 (+6.2%) and $121.97 million in FY2021 (+182.1%).
- The Q2 2026 figure represents the lowest quarterly Selling, General & Administrative since Q2 2021.
- Year-over-year, Selling, General & Administrative has declined for eight consecutive quarters, with an average decline of 13.7% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2021 (growth of 510.1%), and the weakest in Q3 2022 (a decline of 44.2%).
- Business Quant data shows NRDY's Selling, General & Administrative at $23.92 million (Q1 2026), $24.72 million (Q4 2025) and $25.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 50.59 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 114.00 Mn |
| 10 | Nerdy | 98.36 Mn | -56.70 Mn | 27.98 Mn | 22.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.89 Mn |
| Mar 31, 2026 | 23.92 Mn |
| Dec 31, 2025 | 24.72 Mn |
| Sep 30, 2025 | 25.82 Mn |
| Jun 30, 2025 | 26.57 Mn |
| Mar 31, 2025 | 28.41 Mn |
| Dec 31, 2024 | 29.86 Mn |
| Sep 30, 2024 | 31.86 Mn |
| Jun 30, 2024 | 33.18 Mn |
| Mar 31, 2024 | 31.98 Mn |
| Dec 31, 2023 | 30.65 Mn |
| Sep 30, 2023 | 35.51 Mn |
| Jun 30, 2023 | 29.71 Mn |
| Mar 31, 2023 | 29.70 Mn |
| Dec 31, 2022 | 32.89 Mn |
| Sep 30, 2022 | 33.41 Mn |
| Jun 30, 2022 | 32.75 Mn |
| Mar 31, 2022 | 30.51 Mn |
| Dec 31, 2021 | 34.29 Mn |
| Sep 30, 2021 | 59.90 Mn |
API Access
Nerdy Selling, General & Administrative 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=selling-general-and-administrative&ticker=NRDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NRDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();