LENZ Therapeutics (LENZ) Change in Accrued Expenses (2020 - 2026)
LENZ Therapeutics' Change in Accrued Expenses came in at -$5.11 million for Q2 2026, compared with $2.69 million a year earlier.
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Analysis
LENZ Therapeutics (LENZ) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LENZ Therapeutics reported Change in Accrued Expenses of $2.26 million, down 35.4% year-over-year; for FY2025, it was $10.98 million.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 88.1% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was -$7.46 million in FY2024, $7.78 million in FY2023 (+601.2%), $1.11 million in FY2022 (-50.1%) and $2.22 million in FY2021 (+377.0%).
- The Q2 2026 figure represents the lowest quarterly Change in Accrued Expenses since Q1 2024.
- Year-over-year, Change in Accrued Expenses increased in two of the last four quarters, with growth averaging 177.0%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q3 2021 (growth of 700.0%), and the weakest in Q3 2024 (a decline of 78.4%).
- Business Quant data shows LENZ's Change in Accrued Expenses at -$2.11 million (Q1 2026), $5.03 million (Q4 2025) and $4.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | LENZ Therapeutics | 128.82 Mn | -839.21 Mn | 2.93 Mn | 2.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.45 Mn |
| Jun 30, 2026 | -5.11 Mn |
| Mar 31, 2026 | -2.11 Mn |
| Dec 31, 2025 | 5.03 Mn |
| Sep 30, 2025 | 4.46 Mn |
| Jun 30, 2025 | 2.69 Mn |
| Mar 31, 2025 | -1.20 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Sep 30, 2024 | 721,000.00 |
| Jun 30, 2024 | -2.25 Mn |
| Mar 31, 2024 | -7.23 Mn |
| Dec 31, 2023 | 1.62 Mn |
| Sep 30, 2023 | 3.34 Mn |
| Jun 30, 2023 | 2.98 Mn |
| Mar 31, 2023 | -148,000.00 |
| Dec 31, 2022 | 453,000.00 |
| Sep 30, 2022 | 1.17 Mn |
| Jun 30, 2022 | 1.16 Mn |
| Mar 31, 2022 | -1.67 Mn |
| Dec 31, 2021 | 1.03 Mn |
API Access
LENZ Therapeutics Change in Accrued 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=LENZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "LENZ", "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=LENZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();