Praxis Precision Medicines (PRAX) Depreciation and Depletion (2019 - 2026)
Praxis Precision Medicines (PRAX) recorded Depreciation and Depletion of $33,000 in Q2 2026, down 28.3% from $46,000 a year earlier and down 15.4% from the prior quarter.
Praxis Precision Medicines (PRAX) Depreciation and Depletion (2019 - 2026) Analysis & Trends
On a TTM basis, Praxis Precision Medicines' Depreciation and Depletion came in at $119,000 as of Jun 30, 2026, down 56.6% year-over-year; for FY2025, it was $140,000, down 65.0% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 22.9% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $400,000 in FY2024 (-7.4%), $432,000 in FY2023 (+3.1%), $419,000 in FY2022 (+109.5%) and $200,000 in FY2021 (+300.0%).
- Quarterly Depreciation and Depletion has ranged from $19,000 in Q3 2025 to $119,000 in Q2 2022 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has declined for eight consecutive quarters, with an average decline of 43.0% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 455.0% in Q4 2021, against a decline of 79.3% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $39,000 (Q1 2026), $28,000 (Q4 2025) and $19,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | - |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | - |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | - |
| 10 | Praxis Precision Medicines | 7.41 Bn | 5.00 Bn | - | 33,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33,000.00 |
| Mar 31, 2026 | 39,000.00 |
| Dec 31, 2025 | 28,000.00 |
| Sep 30, 2025 | 19,000.00 |
| Jun 30, 2025 | 46,000.00 |
| Mar 31, 2025 | 47,000.00 |
| Dec 31, 2024 | 89,000.00 |
| Sep 30, 2024 | 92,000.00 |
| Jun 30, 2024 | 107,000.00 |
| Mar 31, 2024 | 112,000.00 |
| Dec 31, 2023 | 111,000.00 |
| Sep 30, 2023 | 109,000.00 |
| Jun 30, 2023 | 106,000.00 |
| Mar 31, 2023 | 106,000.00 |
| Dec 31, 2022 | 105,000.00 |
| Sep 30, 2022 | 102,000.00 |
| Jun 30, 2022 | 119,000.00 |
| Mar 31, 2022 | 93,000.00 |
| Dec 31, 2021 | 111,000.00 |
| Sep 30, 2021 | 39,000.00 |
Praxis Precision Medicines 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=PRAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "PRAX", "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=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();