Precision Biosciences (DTIL) Operating Leases (2020 - 2026)
Precision Biosciences' Operating Leases came in at $4.07 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), down 28.3% from $5.68 million a year earlier and down 9.3% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences' Operating Leases was $4.9 million, down 23.5% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- Going back by fiscal year, Operating Leases was $6.4 million in FY2024 (-17.1%), $7.72 million in FY2023 (+629.3%), $1.06 million in FY2022 (-78.0%) and $4.81 million in FY2021 (-43.9%).
- The fiscal Q2 2026 figure represents the lowest quarterly Operating Leases since fiscal Q2 2023.
- Year-over-year, Operating Leases has declined for seven consecutive quarters, with an average decline of 22.1% over the last seven quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q4 2023 (growth of 629.3%), and the weakest in fiscal Q4 2022 (a decline of 78.0%).
- Business Quant data shows DTIL's Operating Leases at $4.49 million (Q1 2026), $4.9 million (Q4 2025) and $5.3 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Precision Biosciences | 165.47 Mn | -183.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.07 Mn |
| Mar 31, 2026 | 4.49 Mn |
| Dec 31, 2025 | 4.90 Mn |
| Sep 30, 2025 | 5.30 Mn |
| Jun 30, 2025 | 5.68 Mn |
| Mar 31, 2025 | 6.05 Mn |
| Dec 31, 2024 | 6.40 Mn |
| Sep 30, 2024 | 6.75 Mn |
| Jun 30, 2024 | 7.09 Mn |
| Mar 31, 2024 | 7.41 Mn |
| Dec 31, 2023 | 7.72 Mn |
| Jun 30, 2023 | 3.17 Mn |
| Mar 31, 2023 | 2.23 Mn |
| Dec 31, 2022 | 1.06 Mn |
| Sep 30, 2022 | 3.31 Mn |
| Jun 30, 2022 | 3.82 Mn |
| Mar 31, 2022 | 4.33 Mn |
| Dec 31, 2021 | 4.81 Mn |
| Sep 30, 2021 | 6.97 Mn |
| Jun 30, 2021 | 7.52 Mn |
API Access
Precision Biosciences Operating Leases 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=operating-leases&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();