Progyny (PGNY) Property, Plant & Equipment (Net) (2018 - 2026)
Progyny (PGNY) recorded Property, Plant & Equipment (Net) of $41.99 million in Q2 2026, up 110.6% from $19.94 million a year earlier and up 17.6% from the prior quarter.
Progyny (PGNY) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, Progyny reported Property, Plant & Equipment (Net) of $29.93 million, up 141.7% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for seven straight years, with a five-year compound annual growth rate of 54.5% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $12.38 million in FY2024 (+21.2%), $10.21 million in FY2023 (+22.0%), $8.37 million in FY2022 (+66.5%) and $5.03 million in FY2021 (+47.9%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2018.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for 20 consecutive quarters, with growth averaging 84.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 12.0% in Q2 2024 to 141.7% in Q4 2025.
- Per Business Quant, the preceding three quarters came in at $35.71 million (Q1 2026), $29.93 million (Q4 2025) and $24.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 31.82 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 317.57 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 2.22 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 3.10 Bn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 6.26 Bn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 155.30 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 4.04 Bn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 213.87 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 2.75 Bn |
| 10 | Progyny | 2.18 Bn | 1.06 Bn | 89.30 Mn | 41.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.99 Mn |
| Mar 31, 2026 | 35.71 Mn |
| Dec 31, 2025 | 29.93 Mn |
| Sep 30, 2025 | 24.74 Mn |
| Jun 30, 2025 | 19.94 Mn |
| Mar 31, 2025 | 15.74 Mn |
| Dec 31, 2024 | 12.38 Mn |
| Sep 30, 2024 | 11.93 Mn |
| Jun 30, 2024 | 10.64 Mn |
| Mar 31, 2024 | 10.23 Mn |
| Dec 31, 2023 | 10.21 Mn |
| Sep 30, 2023 | 9.72 Mn |
| Jun 30, 2023 | 9.50 Mn |
| Mar 31, 2023 | 8.88 Mn |
| Dec 31, 2022 | 8.37 Mn |
| Sep 30, 2022 | 7.20 Mn |
| Jun 30, 2022 | 6.28 Mn |
| Mar 31, 2022 | 5.83 Mn |
| Dec 31, 2021 | 5.03 Mn |
| Sep 30, 2021 | 4.70 Mn |
Progyny Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PGNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PGNY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=PGNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();