PagerDuty (PD) Total Liabilities (2019 - 2026)
PagerDuty (PD) reported Total Liabilities of $726.36 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.2% from $710.82 million a year earlier and up 0.9% from the prior quarter.
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Analysis
PagerDuty (PD) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), PagerDuty posted Total Liabilities of $736.92 million, down 7.6% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 11.4% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $797.44 million in FY2025 (+5.8%), $753.71 million in FY2024 (+30.6%), $576.9 million in FY2023 (+6.9%) and $539.47 million in FY2022 (+25.8%).
- Five-year quarterly Total Liabilities spans a low of $508.7 million in fiscal Q3 2022 and a high of $797.44 million in fiscal Q4 2025.
- Year over year, Total Liabilities gained in four of the last eight quarters, with an average decline of 1.2%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2025 (growth of 37.6%); the low point was fiscal Q1 2027 (a decline of 7.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $720.06 million (Q1 2027), $736.92 million (Q4 2026) and $707.27 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | PagerDuty | 1.14 Bn | -779.40 Mn | 104.40 Mn | 726.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 726.36 Mn |
| Apr 30, 2026 | 720.06 Mn |
| Jan 31, 2026 | 736.92 Mn |
| Oct 31, 2025 | 707.27 Mn |
| Jul 31, 2025 | 710.82 Mn |
| Apr 30, 2025 | 781.14 Mn |
| Jan 31, 2025 | 797.44 Mn |
| Oct 31, 2024 | 755.16 Mn |
| Jul 31, 2024 | 751.32 Mn |
| Apr 30, 2024 | 750.01 Mn |
| Jan 31, 2024 | 753.71 Mn |
| Oct 31, 2023 | 717.61 Mn |
| Jul 31, 2023 | 546.01 Mn |
| Apr 30, 2023 | 549.36 Mn |
| Jan 31, 2023 | 576.90 Mn |
| Oct 31, 2022 | 543.66 Mn |
| Jul 31, 2022 | 534.49 Mn |
| Apr 30, 2022 | 528.54 Mn |
| Jan 31, 2022 | 539.47 Mn |
| Oct 31, 2021 | 508.70 Mn |
API Access
PagerDuty 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=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PD", "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=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();