AbCellera Biologics (ABCL) Change in Receivables (2020 - 2026)
AbCellera Biologics (ABCL) recorded Change in Receivables of -$13.1 million in Q1 2026, compared with $1.13 million a year earlier.
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Analysis
AbCellera Biologics (ABCL) Change in Receivables (2020 - 2026) Analysis & Trends
On a TTM basis, AbCellera Biologics' Change in Receivables came in at $41.39 million as of Mar 31, 2026, down 28.2% year-over-year; for FY2025, it was $55.62 million, down 26.0% from FY2024.
- Annual Change in Receivables has a five-year compound annual growth rate of 59.0% (FY2020 to FY2025).
- Across earlier years, Change in Receivables came in at $75.12 million in FY2024 (+63.5%), $45.93 million in FY2023 (+102.2%), $22.72 million in FY2022 (-39.2%) and $37.39 million in FY2021 (+583.8%).
- The Q1 2026 figure is the lowest quarterly Change in Receivables since Q2 2020.
- On a year-over-year basis, Change in Receivables rose in three of the last seven quarters, with growth averaging 1.6%.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 522.8% in Q4 2022, against a decline of 93.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.67 million (Q4 2025), $3.43 million (Q3 2025) and $11.39 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 1.35 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 1.37 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | - |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 1.09 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 333.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 140.20 Mn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -13.10 Mn |
| Dec 31, 2025 | 39.67 Mn |
| Sep 30, 2025 | 3.43 Mn |
| Jun 30, 2025 | 11.39 Mn |
| Mar 31, 2025 | 1.13 Mn |
| Dec 31, 2024 | 20.86 Mn |
| Sep 30, 2024 | 19.82 Mn |
| Jun 30, 2024 | 15.86 Mn |
| Mar 31, 2024 | 18.58 Mn |
| Dec 31, 2023 | 10.44 Mn |
| Sep 30, 2023 | 11.23 Mn |
| Jun 30, 2023 | 32.18 Mn |
| Mar 31, 2023 | -7.92 Mn |
| Dec 31, 2022 | 19.04 Mn |
| Sep 30, 2022 | -3.29 Mn |
| Jun 30, 2022 | -1.79 Mn |
| Mar 31, 2022 | 8.75 Mn |
| Dec 31, 2021 | 3.06 Mn |
| Sep 30, 2021 | 5.99 Mn |
| Jun 30, 2021 | -1.73 Mn |
API Access
AbCellera Biologics Change in Receivables 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-receivables&ticker=ABCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "ABCL", "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-receivables&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();