Phreesia (PHR) Total Liabilities (2019 - 2026)
Phreesia (PHR) recorded Total Liabilities of $275.13 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 148.7% from $110.64 million a year earlier but down 10.4% from the prior quarter.
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Analysis
Phreesia (PHR) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Phreesia reported Total Liabilities of $326.58 million, up 164.2% from FY2025.
- Annual Total Liabilities has increased for six straight fiscal years, with a five-year compound annual growth rate of 38.8% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $123.61 million in FY2025 (+4.0%), $118.88 million in FY2024 (+44.6%), $82.24 million in FY2023 (+6.5%) and $77.2 million in FY2022 (+21.8%).
- Quarterly Total Liabilities has ranged from $71.21 million in fiscal Q3 2022 to $326.58 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 58.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 164.2% in fiscal Q4 2026, against a decline of 14.8% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $307.05 million (Q1 2027), $326.58 million (Q4 2026) and $103.14 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | 1.14 Bn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | 541.14 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | 2.19 Bn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 2.38 Bn |
| 10 | Phreesia | 699.84 Mn | 699.84 Mn | 110.19 Mn | 275.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 275.13 Mn |
| Apr 30, 2026 | 307.05 Mn |
| Jan 31, 2026 | 326.58 Mn |
| Oct 31, 2025 | 103.14 Mn |
| Jul 31, 2025 | 110.64 Mn |
| Apr 30, 2025 | 118.21 Mn |
| Jan 31, 2025 | 123.61 Mn |
| Oct 31, 2024 | 121.11 Mn |
| Jul 31, 2024 | 110.90 Mn |
| Apr 30, 2024 | 119.34 Mn |
| Jan 31, 2024 | 118.88 Mn |
| Oct 31, 2023 | 110.05 Mn |
| Jul 31, 2023 | 93.42 Mn |
| Apr 30, 2023 | 90.24 Mn |
| Jan 31, 2023 | 82.24 Mn |
| Oct 31, 2022 | 76.95 Mn |
| Jul 31, 2022 | 77.52 Mn |
| Apr 30, 2022 | 77.87 Mn |
| Jan 31, 2022 | 77.20 Mn |
| Oct 31, 2021 | 71.21 Mn |
API Access
Phreesia Total Liabilities 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=total-liabilities&ticker=PHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PHR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();