Cabaletta Bio (CABA) Change in Accured Expenses (2018 - 2025)
Cabaletta Bio (CABA) posted Change in Accured Expenses of $3.05 million for Q4 2025, compared with -$574,000 a year earlier and up 32.1% from the prior quarter.
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Analysis
Cabaletta Bio (CABA) Change in Accured Expenses (2018 - 2025) Analysis & Trends
For FY2025, Cabaletta Bio's Change in Accured Expenses came in at $7.43 million, up 88.3% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 31.7% (FY2020 to FY2025).
- In prior years, Cabaletta Bio's Change in Accured Expenses was $3.95 million in FY2024 (+32.4%), $2.98 million in FY2023, -$1.19 million in FY2022 and $2.11 million in FY2021 (+12.5%).
- Quarterly Change in Accured Expenses has run from a low of -$3.54 million in Q1 2025 to a high of $6.45 million in Q3 2024 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 285.1%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2024, with growth of 878.1%; the weakest was Q4 2022, with a decline of 77.2%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $2.31 million (Q3 2025), $5.61 million (Q2 2025) and -$3.54 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Cabaletta Bio | 320.44 Mn | 320.44 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.05 Mn |
| Sep 30, 2025 | 2.31 Mn |
| Jun 30, 2025 | 5.61 Mn |
| Mar 31, 2025 | -3.54 Mn |
| Dec 31, 2024 | -574,000.00 |
| Sep 30, 2024 | 6.45 Mn |
| Jun 30, 2024 | 1.56 Mn |
| Mar 31, 2024 | -3.48 Mn |
| Dec 31, 2023 | 3.06 Mn |
| Sep 30, 2023 | 659,000.00 |
| Jun 30, 2023 | 938,000.00 |
| Mar 31, 2023 | -1.68 Mn |
| Dec 31, 2022 | 395,000.00 |
| Sep 30, 2022 | 432,000.00 |
| Jun 30, 2022 | 1.01 Mn |
| Mar 31, 2022 | -3.02 Mn |
| Dec 31, 2021 | 1.73 Mn |
| Sep 30, 2021 | 1.09 Mn |
| Jun 30, 2021 | 530,000.00 |
| Mar 31, 2021 | -1.24 Mn |
API Access
Cabaletta Bio 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=CABA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CABA", "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=CABA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();