Progyny (PGNY) Accounts Payables (2018 - 2026)
Progyny's Accounts Payables was $152.05 million in Q2 2026, up 8.2% from $140.52 million a year earlier but down 3.7% from the prior quarter.
Analysis
Progyny (PGNY) Accounts Payables (2018 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at Progyny came in at $124.07 million, up 30.5% from FY2024.
- Accounts Payables shows a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $95.1 million in FY2024 (-24.2%), $125.43 million in FY2023 (+14.8%), $109.29 million in FY2022 (+78.0%) and $61.4 million in FY2021 (+41.1%).
- Quarterly Accounts Payables has moved between $55.43 million (Q3 2021) and $157.83 million (Q1 2026) over five years.
- Compared with a year earlier, Accounts Payables has increased for three straight quarters, with growth averaging 2.6% over the last eight quarters.
- The best year-over-year quarter for Accounts Payables over five years was Q3 2022 (growth of 87.9%); the worst was Q4 2024 (a decline of 24.2%).
- Per Business Quant data, PGNY's Accounts Payables in the three quarters before Q2 2026 was $157.83 million (Q1 2026), $124.07 million (Q4 2025) and $123.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 106.13 Bn | 102.23 Bn | - | 5.10 Bn |
| 2 | Natera | 44.93 Bn | 40.56 Bn | 513.47 Mn | 120.18 Mn |
| 3 | Labcorp Holdings | 29.97 Bn | 28.06 Bn | 1.11 Bn | 738.00 Mn |
| 4 | Quest Diagnostics | 28.09 Bn | 25.85 Bn | 1.04 Bn | 1.64 Bn |
| 5 | Tenet Healthcare | 22.72 Bn | 12.03 Bn | - | 1.39 Bn |
| 6 | Guardant Health | 20.11 Bn | 15.73 Bn | 236.15 Mn | 102.51 Mn |
| 7 | BrightSpring Health Services | 13.90 Bn | 11.66 Bn | 518.55 Mn | 1.23 Bn |
| 8 | Tempus AI | 13.80 Bn | 10.95 Bn | 266.70 Mn | 70.51 Mn |
| 9 | Encompass Health | 13.52 Bn | 13.15 Bn | - | 231.40 Mn |
| 10 | Progyny | 2.65 Bn | 1.69 Bn | 83.74 Mn | 148.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 148.00 Mn |
| Jun 30, 2026 | 152.05 Mn |
| Mar 31, 2026 | 157.83 Mn |
| Dec 31, 2025 | 124.07 Mn |
| Sep 30, 2025 | 123.09 Mn |
| Jun 30, 2025 | 140.52 Mn |
| Mar 31, 2025 | 145.71 Mn |
| Dec 31, 2024 | 95.10 Mn |
| Sep 30, 2024 | 130.46 Mn |
| Jun 30, 2024 | 151.75 Mn |
| Mar 31, 2024 | 130.17 Mn |
| Dec 31, 2023 | 125.43 Mn |
| Sep 30, 2023 | 132.04 Mn |
| Jun 30, 2023 | 130.16 Mn |
| Mar 31, 2023 | 145.62 Mn |
| Dec 31, 2022 | 109.29 Mn |
| Sep 30, 2022 | 104.16 Mn |
| Jun 30, 2022 | 92.66 Mn |
| Mar 31, 2022 | 84.68 Mn |
| Dec 31, 2021 | 61.40 Mn |
API Access
Progyny Accounts Payables 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=accounts-payables&ticker=PGNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=PGNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();