Nerdy (NRDY) Depreciation and Depletion (2020 - 2026)
Nerdy (NRDY) recorded Depreciation and Depletion of $176,000 in Q2 2026, up 33.3% from $132,000 a year earlier and up 23.1% from the prior quarter.
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Analysis
Nerdy (NRDY) Depreciation and Depletion (2020 - 2026) Analysis & Trends
On a TTM basis, Nerdy's Depreciation and Depletion came in at $590,000 as of Jun 30, 2026, down 18.7% year-over-year; for FY2025, it was $575,000, down 36.0% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $898,000 in FY2024 (unchanged), $898,000 in FY2023 (-14.8%), $1.05 million in FY2022 (+26.2%) and $835,000 in FY2021 (-8.9%).
- The Q2 2026 figure is the highest quarterly Depreciation and Depletion since Q4 2024.
- On a year-over-year basis, Depreciation and Depletion rose in two of the last eight quarters, with an average decline of 14.3%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 40.2% in Q1 2022, against a decline of 42.6% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $143,000 (Q1 2026), $137,000 (Q4 2025) and $134,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | - |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.36 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | - |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | - |
| 10 | Nerdy | 98.36 Mn | -56.70 Mn | 27.98 Mn | 176,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176,000.00 |
| Mar 31, 2026 | 143,000.00 |
| Dec 31, 2025 | 137,000.00 |
| Sep 30, 2025 | 134,000.00 |
| Jun 30, 2025 | 132,000.00 |
| Mar 31, 2025 | 172,000.00 |
| Dec 31, 2024 | 205,000.00 |
| Sep 30, 2024 | 217,000.00 |
| Jun 30, 2024 | 230,000.00 |
| Mar 31, 2024 | 246,000.00 |
| Dec 31, 2023 | 180,000.00 |
| Sep 30, 2023 | 219,000.00 |
| Jun 30, 2023 | 243,000.00 |
| Mar 31, 2023 | 256,000.00 |
| Dec 31, 2022 | 259,000.00 |
| Sep 30, 2022 | 267,000.00 |
| Jun 30, 2022 | 270,000.00 |
| Mar 31, 2022 | 258,000.00 |
| Dec 31, 2021 | 236,000.00 |
| Sep 30, 2021 | 215,000.00 |
API Access
Nerdy Depreciation and Depletion 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=depreciation-and-depletion&ticker=NRDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=NRDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();