Nerdy (NRDY) Return on Capital Employed [ROCE] (2021 - 2026)
Nerdy (NRDY) recorded Return on Capital Employed [ROCE] of -87.73% in Q2 2026, up 38.99 percentage points from -126.72% a year earlier and up 10.58 percentage points from the prior quarter.
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Analysis
Nerdy (NRDY) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Nerdy reported Return on Capital Employed [ROCE] of -105.37%, down 18.06 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of +22.72 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -87.31% in FY2024 (-25.48 pp), -61.83% in FY2023 (+15.40 pp), -77.23% in FY2022 (+50.87 pp) and -128.09% in FY2021.
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in two of the last eight quarters, with an average year-over-year change of -23.85 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 38.99 percentage points in Q2 2026, against a drop of 92.66 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -98.31% (Q1 2026), -129.79% (Q4 2025) and -156.59% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | Nerdy | 98.36 Mn | -56.70 Mn | 27.98 Mn | -87.73% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -87.73% |
| Mar 31, 2026 | -98.31% |
| Dec 31, 2025 | -129.79% |
| Sep 30, 2025 | -156.59% |
| Jun 30, 2025 | -126.72% |
| Mar 31, 2025 | -122.27% |
| Dec 31, 2024 | -98.32% |
| Sep 30, 2024 | -87.40% |
| Jun 30, 2024 | -70.40% |
| Mar 31, 2024 | -65.61% |
| Dec 31, 2023 | -64.98% |
| Sep 30, 2023 | -80.64% |
| Jun 30, 2023 | -69.87% |
| Mar 31, 2023 | -84.40% |
| Dec 31, 2022 | -91.89% |
| Sep 30, 2022 | -87.99% |
| Jun 30, 2022 | -97.76% |
| Mar 31, 2022 | -86.60% |
| Dec 31, 2021 | -58.24% |
| Sep 30, 2021 | -28.88% |
API Access
Nerdy Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=NRDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=NRDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();