PagerDuty (PD) Receivables (2019 - 2026)
PagerDuty (PD) reported Receivables of $71.74 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.9% from $70.4 million a year earlier but down 5.6% from the prior quarter.
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Analysis
PagerDuty (PD) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), PagerDuty posted Receivables of $108.43 million, up 1.0% from FY2025.
- Receivables has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 14.0% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $107.35 million in FY2025 (+6.9%), $100.41 million in FY2024 (+7.8%), $93.15 million in FY2023 (+20.2%) and $77.48 million in FY2022 (+37.8%).
- Five-year quarterly Receivables spans a low of $4.4 million in fiscal Q4 2022 and a high of $108.43 million in fiscal Q4 2026.
- Year over year, Receivables gained in seven of the last eight quarters, with growth averaging 3.0%.
- The high point for year-over-year Receivables in five years was fiscal Q1 2023 (growth of 63.2%); the low point was fiscal Q4 2022 (a decline of 92.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $76.03 million (Q1 2027), $108.43 million (Q4 2026) and $78.88 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 4.17 Bn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | 1.43 Bn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | 718.46 Mn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 1.46 Bn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 963.88 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | 1.15 Bn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | 1.99 Bn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 483.22 Mn |
| 10 | PagerDuty | 1.22 Bn | -692.10 Mn | 104.40 Mn | 90.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 90.09 Mn |
| Apr 30, 2026 | 94.21 Mn |
| Jan 31, 2026 | 126.83 Mn |
| Oct 31, 2025 | 97.27 Mn |
| Jul 31, 2025 | 89.41 Mn |
| Apr 30, 2025 | 98.98 Mn |
| Jan 31, 2025 | 127.14 Mn |
| Oct 31, 2024 | 94.81 Mn |
| Jul 31, 2024 | 86.48 Mn |
| Apr 30, 2024 | 97.15 Mn |
| Jan 31, 2024 | 119.92 Mn |
| Oct 31, 2023 | 90.00 Mn |
| Jul 31, 2023 | 84.08 Mn |
| Apr 30, 2023 | 64.33 Mn |
| Jan 31, 2023 | 93.15 Mn |
| Oct 31, 2022 | 90.64 Mn |
| Jul 31, 2022 | 60.61 Mn |
| Apr 30, 2022 | 61.31 Mn |
| Jan 31, 2022 | 4.40 Mn |
| Oct 31, 2021 | 69.04 Mn |
API Access
PagerDuty Receivables 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=receivables&ticker=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();