Prokidney (PROK) Depreciation & Amortization (CF) (2021 - 2026)
Prokidney (PROK) reported Depreciation & Amortization (CF) of $1.68 million for Q2 2026, up 14.5% from $1.47 million a year earlier and up 1.2% from the prior quarter.
Prokidney (PROK) Depreciation & Amortization (CF) (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Prokidney's Depreciation & Amortization (CF) came in at $6.85 million, up 11.8% year-over-year; for FY2025, it came in at $6.58 million, up 21.0% from FY2024.
- Depreciation & Amortization (CF) has increased for five consecutive years, with a five-year compound annual growth rate of 46.8% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $5.43 million in FY2024 (+41.0%), $3.85 million in FY2023 (+26.9%), $3.04 million in FY2022 (+53.0%) and $1.98 million in FY2021 (+105.8%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of $401,000 in Q3 2021 and a high of $1.84 million in Q4 2025.
- Year over year, Depreciation & Amortization (CF) has now increased in each of the last 16 quarters, with growth averaging 24.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation & Amortization (CF) ranged from 3.6% (Q1 2026) to 95.3% (Q3 2022).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.66 million (Q1 2026), $1.84 million (Q4 2025) and $1.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 545.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.61 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.58 Bn |
| 10 | Prokidney | 567.48 Mn | 1.19 Bn | - | 1.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.68 Mn |
| Mar 31, 2026 | 1.66 Mn |
| Dec 31, 2025 | 1.84 Mn |
| Sep 30, 2025 | 1.67 Mn |
| Jun 30, 2025 | 1.47 Mn |
| Mar 31, 2025 | 1.60 Mn |
| Dec 31, 2024 | 1.57 Mn |
| Sep 30, 2024 | 1.49 Mn |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 1.01 Mn |
| Jun 30, 2023 | 870,000.00 |
| Mar 31, 2023 | 832,000.00 |
| Dec 31, 2022 | 791,000.00 |
| Sep 30, 2022 | 783,000.00 |
| Jun 30, 2022 | 752,000.00 |
| Mar 31, 2022 | 710,000.00 |
| Dec 31, 2021 | 587,000.00 |
| Sep 30, 2021 | 401,000.00 |
Prokidney Depreciation & Amortization (CF) 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-amortization-cf&ticker=PROK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "PROK", "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-amortization-cf&ticker=PROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();