Precision Biosciences (DTIL) Non-Current Assets (2018 - 2026)
Precision Biosciences (DTIL) recorded Non-Current Assets of $34.37 million in fiscal Q2 2026 (quarter ended Jun 30, 2026), down 11.1% from $38.67 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences reported Non-Current Assets of $35.68 million, down 13.8% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Across earlier fiscal years, Non-Current Assets came in at $41.4 million in FY2024 (+76.8%), $23.42 million in FY2023 (-40.0%), $39.06 million in FY2022 (-21.5%) and $49.74 million in FY2021 (+11.5%).
- The fiscal Q2 2026 figure is the lowest quarterly Non-Current Assets since fiscal Q2 2024.
- On a year-over-year basis, Non-Current Assets has declined for four consecutive quarters, with growth averaging 39.8% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 131.1% in fiscal Q3 2024, against a decline of 60.1% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $35.2 million (Q1 2026), $35.68 million (Q4 2025) and $41.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Precision Biosciences | 174.27 Mn | -174.91 Mn | - | 34.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.37 Mn |
| Mar 31, 2026 | 35.20 Mn |
| Dec 31, 2025 | 35.68 Mn |
| Sep 30, 2025 | 41.81 Mn |
| Jun 30, 2025 | 38.67 Mn |
| Mar 31, 2025 | 42.31 Mn |
| Dec 31, 2024 | 41.40 Mn |
| Sep 30, 2024 | 42.74 Mn |
| Jun 30, 2024 | 21.77 Mn |
| Mar 31, 2024 | 23.91 Mn |
| Dec 31, 2023 | 23.42 Mn |
| Sep 30, 2023 | 18.49 Mn |
| Jun 30, 2023 | 33.83 Mn |
| Mar 31, 2023 | 35.49 Mn |
| Dec 31, 2022 | 39.06 Mn |
| Sep 30, 2022 | 46.37 Mn |
| Jun 30, 2022 | 49.47 Mn |
| Mar 31, 2022 | 47.30 Mn |
| Dec 31, 2021 | 49.74 Mn |
| Sep 30, 2021 | 44.15 Mn |
API Access
Precision Biosciences Non-Current Assets 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=non-current-assets&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "DTIL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();