Precipio, Inc. (PRPO) Operating Expenses (2010 - 2026)
Precipio (PRPO) recorded Operating Expenses of $3.74 million in Q2 2026, up 14.8% from $3.25 million a year earlier.
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Analysis
Precipio, Inc. (PRPO) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Precipio's Operating Expenses came in at $12.64 million as of Jun 30, 2026, up 4.4% year-over-year; for FY2025, it was $11.91 million, up 1.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $11.78 million in FY2024 (-13.7%), $13.64 million in FY2023 (-10.9%), $15.31 million in FY2022 (+27.5%) and $12.01 million in FY2021 (+16.6%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q1 2023.
- On a year-over-year basis, Operating Expenses rose in five of the last seven quarters, with growth averaging 1.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 111.6% in Q1 2022, against a decline of 31.5% in Q1 2023 at the low end.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.74 Mn |
| Dec 31, 2025 | 2.59 Mn |
| Sep 30, 2025 | 3.07 Mn |
| Jun 30, 2025 | 3.25 Mn |
| Mar 31, 2025 | 3.00 Mn |
| Dec 31, 2024 | 2.98 Mn |
| Sep 30, 2024 | 2.87 Mn |
| Jun 30, 2024 | 2.93 Mn |
| Mar 31, 2024 | 2.99 Mn |
| Dec 31, 2023 | 2.87 Mn |
| Sep 30, 2023 | 3.33 Mn |
| Jun 30, 2023 | 3.66 Mn |
| Mar 31, 2023 | 3.78 Mn |
| Dec 31, 2022 | 2.92 Mn |
| Sep 30, 2022 | 3.67 Mn |
| Jun 30, 2022 | 3.21 Mn |
| Mar 31, 2022 | 5.51 Mn |
| Dec 31, 2021 | 3.55 Mn |
| Sep 30, 2021 | 2.97 Mn |
| Jun 30, 2021 | 2.88 Mn |
API Access
Precipio, Inc. 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=PRPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PRPO", "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=PRPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();