Precision Biosciences (DTIL) Change in Accured Expenses (2018 - 2026)
Precision Biosciences (DTIL) recorded Change in Accured Expenses of -$546,000 in fiscal Q2 2026 (quarter ended Jun 30, 2026), compared with $677,000 a year earlier.
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Analysis
Precision Biosciences (DTIL) Change in Accured Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Precision Biosciences' Change in Accured Expenses came in at $337,000 as of Jun 30, 2026; for FY2025 (ended Dec 31, 2025), it came in at -$1.76 million.
- Across earlier fiscal years, Change in Accured Expenses came in at -$2.13 million in FY2024, -$724,000 in FY2023, -$1.82 million in FY2022 and $1.42 million in FY2021 (-42.5%).
- Quarterly Change in Accured Expenses has ranged from -$5.84 million in fiscal Q1 2024 to $2.44 million in fiscal Q2 2022 over the past five years.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 464.6% in fiscal Q4 2023, against a decline of 82.5% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$1.8 million (Q1 2026), $2.15 million (Q4 2025) and $528,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Precision Biosciences | 166.80 Mn | -182.39 Mn | - | -546,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -546,000.00 |
| Mar 31, 2026 | -1.80 Mn |
| Dec 31, 2025 | 2.15 Mn |
| Sep 30, 2025 | 528,000.00 |
| Jun 30, 2025 | 677,000.00 |
| Mar 31, 2025 | -5.12 Mn |
| Dec 31, 2024 | -156,000.00 |
| Sep 30, 2024 | 2.04 Mn |
| Jun 30, 2024 | 1.82 Mn |
| Mar 31, 2024 | -5.84 Mn |
| Dec 31, 2023 | 2.38 Mn |
| Sep 30, 2023 | 389,000.00 |
| Jun 30, 2023 | 1.03 Mn |
| Mar 31, 2023 | -4.52 Mn |
| Dec 31, 2022 | 421,000.00 |
| Sep 30, 2022 | 474,000.00 |
| Jun 30, 2022 | 2.44 Mn |
| Mar 31, 2022 | -5.15 Mn |
| Dec 31, 2021 | 2.40 Mn |
| Sep 30, 2021 | -71,000.00 |
API Access
Precision Biosciences Change in Accured Expenses 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=change-in-accured-expenses&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();