Nerdy (NRDY) Cash & Equivalents (2019 - 2026)
Nerdy's Cash & Equivalents was $38.42 million in Q2 2026, up 4.6% from $36.72 million a year earlier but down 14.0% from the prior quarter.
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Analysis
Nerdy (NRDY) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Nerdy came in at $47.9 million, down 8.8% from FY2024.
- Cash & Equivalents has now declined for four consecutive years, though with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $52.54 million in FY2024 (-29.8%), $74.82 million in FY2023 (-17.5%), $90.72 million in FY2022 (-37.0%) and $143.96 million in FY2021 (+391.9%).
- Quarterly Cash & Equivalents has moved between $32.71 million (Q3 2025) and $169.98 million (Q3 2021) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in 1 of the last eight quarters, with an average decline of 24.5%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2022 (growth of 722.0%); the worst was Q3 2025 (a decline of 49.7%).
- Per Business Quant data, NRDY's Cash & Equivalents in the three quarters before Q2 2026 was $44.7 million (Q1 2026), $47.9 million (Q4 2025) and $32.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Nerdy | 98.36 Mn | -56.70 Mn | 27.98 Mn | 38.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.42 Mn |
| Mar 31, 2026 | 44.70 Mn |
| Dec 31, 2025 | 47.90 Mn |
| Sep 30, 2025 | 32.71 Mn |
| Jun 30, 2025 | 36.72 Mn |
| Mar 31, 2025 | 44.92 Mn |
| Dec 31, 2024 | 52.54 Mn |
| Sep 30, 2024 | 65.00 Mn |
| Jun 30, 2024 | 69.84 Mn |
| Mar 31, 2024 | 76.96 Mn |
| Dec 31, 2023 | 74.82 Mn |
| Sep 30, 2023 | 84.03 Mn |
| Jun 30, 2023 | 90.93 Mn |
| Mar 31, 2023 | 96.52 Mn |
| Dec 31, 2022 | 90.72 Mn |
| Sep 30, 2022 | 106.38 Mn |
| Jun 30, 2022 | 120.98 Mn |
| Mar 31, 2022 | 141.72 Mn |
| Dec 31, 2021 | 143.96 Mn |
| Sep 30, 2021 | 169.98 Mn |
API Access
Nerdy Cash & Equivalents 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=cash-and-equivalents&ticker=NRDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NRDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();