Pliant Therapeutics (PLRX) Accumulated Expenses (2019 - 2026)
Pliant Therapeutics (PLRX) recorded Accumulated Expenses of $3.65 million in Q2 2026, down 49.2% from $7.19 million a year earlier and down 11.8% from the prior quarter.
Pliant Therapeutics (PLRX) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Pliant Therapeutics reported Accumulated Expenses of $9.63 million, down 22.0% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $12.35 million in FY2024 (+20.9%), $10.22 million in FY2023 (+18.0%), $8.66 million in FY2022 (+41.4%) and $6.12 million in FY2021 (-36.1%).
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses in data going back to Q4 2019.
- On a year-over-year basis, Accumulated Expenses has declined for five consecutive quarters, with an average decline of 9.9% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 113.0% in Q2 2022, against a decline of 61.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.14 million (Q1 2026), $9.63 million (Q4 2025) and $8.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 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 |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Pliant Therapeutics | 48.92 Mn | -712.82 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.65 Mn |
| Mar 31, 2026 | 4.14 Mn |
| Dec 31, 2025 | 9.63 Mn |
| Sep 30, 2025 | 8.17 Mn |
| Jun 30, 2025 | 7.19 Mn |
| Mar 31, 2025 | 7.43 Mn |
| Dec 31, 2024 | 12.35 Mn |
| Sep 30, 2024 | 9.72 Mn |
| Jun 30, 2024 | 8.20 Mn |
| Mar 31, 2024 | 5.87 Mn |
| Dec 31, 2023 | 10.22 Mn |
| Sep 30, 2023 | 8.31 Mn |
| Jun 30, 2023 | 6.76 Mn |
| Mar 31, 2023 | 4.73 Mn |
| Dec 31, 2022 | 8.66 Mn |
| Sep 30, 2022 | 20.31 Mn |
| Jun 30, 2022 | 17.40 Mn |
| Mar 31, 2022 | 11.63 Mn |
| Dec 31, 2021 | 6.12 Mn |
| Sep 30, 2021 | 10.32 Mn |
Pliant Therapeutics Accumulated 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=accumulated-expenses&ticker=PLRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PLRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=PLRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();