Nerdy (NRDY) Return on Sales [ROS] (2020 - 2026)
Nerdy's Return on Sales [ROS] was -14.98% in Q2 2026, up 12.17 percentage points from -27.15% a year earlier but down 3.08 percentage points from the prior quarter.
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Analysis
Nerdy (NRDY) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nerdy's Return on Sales [ROS] was -25.42% through Jun 30, 2026, up 14.33 percentage points year-over-year; for FY2025, it was -34.56%, up 2.29 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -17.31 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -36.85% in FY2024 (-7.09 pp), -29.77% in FY2023 (+26.06 pp), -55.83% in FY2022 (+12.74 pp) and -68.57% in FY2021 (-51.32 pp).
- Quarterly Return on Sales [ROS] has moved between -185.37% (Q3 2021) and -11.90% (Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +3.62 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2022 (a gain of 98.17 percentage points); the worst was Q3 2021 (a drop of 165.93 percentage points).
- Per Business Quant data, NRDY's Return on Sales [ROS] in the three quarters before Q2 2026 was -11.90% (Q1 2026), -28.32% (Q4 2025) and -51.55% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Nerdy | 98.36 Mn | -56.70 Mn | 27.98 Mn | -14.98% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14.98% |
| Mar 31, 2026 | -11.90% |
| Dec 31, 2025 | -28.32% |
| Sep 30, 2025 | -51.55% |
| Jun 30, 2025 | -27.15% |
| Mar 31, 2025 | -34.85% |
| Dec 31, 2024 | -33.97% |
| Sep 30, 2024 | -68.54% |
| Jun 30, 2024 | -29.87% |
| Mar 31, 2024 | -23.92% |
| Dec 31, 2023 | -18.47% |
| Sep 30, 2023 | -63.41% |
| Jun 30, 2023 | -21.44% |
| Mar 31, 2023 | -23.12% |
| Dec 31, 2022 | -48.88% |
| Sep 30, 2022 | -87.20% |
| Jun 30, 2022 | -52.17% |
| Mar 31, 2022 | -44.07% |
| Dec 31, 2021 | -63.23% |
| Sep 30, 2021 | -185.37% |
API Access
Nerdy Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NRDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NRDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();