Olema Pharmaceuticals (OLMA) Total Current Liabilities (2020 - 2026)
Olema Pharmaceuticals' Total Current Liabilities was $53.01 million in Q2 2026, up 59.9% from $33.16 million a year earlier and up 12.4% from the prior quarter.
Powered by 
Analysis
Olema Pharmaceuticals (OLMA) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Olema Pharmaceuticals came in at $51.8 million, up 24.1% from FY2024.
- Total Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 62.4% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $41.76 million in FY2024 (+93.1%), $21.62 million in FY2023 (+30.6%), $16.55 million in FY2022 (+83.5%) and $9.02 million in FY2021 (+96.7%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Current Liabilities has increased for five straight quarters, with growth averaging 51.3% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 96.7%); the worst was Q1 2025 (a decline of 0.6%).
- Per Business Quant data, OLMA's Total Current Liabilities in the three quarters before Q2 2026 was $47.17 million (Q1 2026), $51.8 million (Q4 2025) and $41.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Olema Pharmaceuticals | 752.96 Mn | 752.96 Mn | - | 53.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.01 Mn |
| Mar 31, 2026 | 47.17 Mn |
| Dec 31, 2025 | 51.80 Mn |
| Sep 30, 2025 | 41.66 Mn |
| Jun 30, 2025 | 33.16 Mn |
| Mar 31, 2025 | 26.06 Mn |
| Dec 31, 2024 | 41.76 Mn |
| Sep 30, 2024 | 30.70 Mn |
| Jun 30, 2024 | 26.54 Mn |
| Mar 31, 2024 | 26.22 Mn |
| Dec 31, 2023 | 21.62 Mn |
| Sep 30, 2023 | 15.97 Mn |
| Jun 30, 2023 | 14.83 Mn |
| Mar 31, 2023 | 19.41 Mn |
| Dec 31, 2022 | 16.55 Mn |
| Sep 30, 2022 | 12.55 Mn |
| Jun 30, 2022 | 12.31 Mn |
| Mar 31, 2022 | 10.17 Mn |
| Dec 31, 2021 | 9.02 Mn |
| Sep 30, 2021 | 8.90 Mn |
API Access
Olema Pharmaceuticals Total Current Liabilities 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=total-current-liabilities&ticker=OLMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "OLMA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=OLMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();