Nerdy (NRDY) Capital Expenditures (2020 - 2026)
Nerdy (NRDY) posted Capital Expenditures of $1.53 million for Q2 2026, up 32.3% from $1.16 million a year earlier and up 29.6% from the prior quarter.
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Analysis
Nerdy (NRDY) Capital Expenditures (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Nerdy was $5.75 million, up 5.7% year-over-year; for FY2025, it came in at $5.37 million, down 21.8% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior years, Nerdy's Capital Expenditures was $6.86 million in FY2024 (-0.3%), $6.89 million in FY2023 (+29.5%), $5.32 million in FY2022 (+3.0%) and $5.16 million in FY2021 (+79.6%).
- Quarterly Capital Expenditures has run from a low of $978,000 in Q4 2022 to a high of $2.96 million in Q4 2023 over five years.
- On a year-over-year basis, Capital Expenditures has increased in each of the last three quarters, with an average decline of 11.7% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2023, with growth of 203.1%; the weakest was Q4 2024, with a decline of 60.8%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $1.18 million (Q1 2026), $1.32 million (Q4 2025) and $1.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 8.78 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 14.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 11.28 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 6.90 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 7.10 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 1.01 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 38.00 Mn |
| 10 | Nerdy | 103.21 Mn | -51.85 Mn | 27.98 Mn | 1.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.53 Mn |
| Mar 31, 2026 | 1.18 Mn |
| Dec 31, 2025 | 1.32 Mn |
| Sep 30, 2025 | 1.72 Mn |
| Jun 30, 2025 | 1.16 Mn |
| Mar 31, 2025 | 1.18 Mn |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | 1.95 Mn |
| Jun 30, 2024 | 1.53 Mn |
| Mar 31, 2024 | 2.22 Mn |
| Dec 31, 2023 | 2.96 Mn |
| Sep 30, 2023 | 1.87 Mn |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 982,000.00 |
| Dec 31, 2022 | 978,000.00 |
| Sep 30, 2022 | 1.63 Mn |
| Jun 30, 2022 | 1.45 Mn |
| Mar 31, 2022 | 1.26 Mn |
| Dec 31, 2021 | 1.39 Mn |
| Sep 30, 2021 | 1.65 Mn |
API Access
Nerdy Capital Expenditures 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=capital-expenditures&ticker=NRDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NRDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();