Pliant Therapeutics (PLRX) Operating Expenses (2019 - 2026)
Pliant Therapeutics' Operating Expenses came in at $23.86 million for Q2 2026, down 47.7% from $45.59 million a year earlier but up 9.6% from the prior quarter.
Pliant Therapeutics (PLRX) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pliant Therapeutics reported Operating Expenses of $97.48 million, down 55.7% year-over-year; for FY2025, it came in at $156.37 million, down 31.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $228.37 million in FY2024 (+23.0%), $185.73 million in FY2023 (+35.7%), $136.89 million in FY2022 (+30.2%) and $105.11 million in FY2021 (+25.9%).
- The five-year range for quarterly Operating Expenses is $21.77 million (Q1 2026) to $62.01 million (Q3 2024).
- Year-over-year, Operating Expenses has declined for five consecutive quarters, with an average decline of 23.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 48.0%), and the weakest in Q1 2026 (a decline of 63.1%).
- Business Quant data shows PLRX's Operating Expenses at $21.77 million (Q1 2026), $23.58 million (Q4 2025) and $28.27 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.61 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Pliant Therapeutics | 50.15 Mn | -711.58 Mn | - | 23.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.86 Mn |
| Mar 31, 2026 | 21.77 Mn |
| Dec 31, 2025 | 23.58 Mn |
| Sep 30, 2025 | 28.27 Mn |
| Jun 30, 2025 | 45.59 Mn |
| Mar 31, 2025 | 58.94 Mn |
| Dec 31, 2024 | 53.32 Mn |
| Sep 30, 2024 | 62.01 Mn |
| Jun 30, 2024 | 60.64 Mn |
| Mar 31, 2024 | 52.39 Mn |
| Dec 31, 2023 | 47.04 Mn |
| Sep 30, 2023 | 47.69 Mn |
| Jun 30, 2023 | 47.58 Mn |
| Mar 31, 2023 | 43.43 Mn |
| Dec 31, 2022 | 39.37 Mn |
| Sep 30, 2022 | 33.43 Mn |
| Jun 30, 2022 | 34.63 Mn |
| Mar 31, 2022 | 29.46 Mn |
| Dec 31, 2021 | 26.60 Mn |
| Sep 30, 2021 | 28.72 Mn |
Pliant Therapeutics Operating 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=operating-expenses&ticker=PLRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PLRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();