PagerDuty (PD) Gross Margin (2018 - 2026)
PagerDuty (PD) reported Gross Margin of 83.90% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.71 percentage points from 84.60% a year earlier and down 0.38 percentage points from the prior quarter.
PagerDuty (PD) Gross Margin (2018 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, PagerDuty's Gross Margin came in at 84.84%, up 1.05 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 84.95%, up 1.99 percentage points from FY2025.
- Gross Margin has increased for three consecutive fiscal years, though with a five-year change of -0.68 percentage points (FY2021 to FY2026).
- By fiscal year, Gross Margin came in at 82.96% in FY2025 (+1.03 pp), 81.93% in FY2024 (+0.92 pp), 81.00% in FY2023 (-1.81 pp) and 82.81% in FY2022 (-2.82 pp).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Gross Margin since fiscal Q4 2025.
- Year over year, Gross Margin gained in seven of the last eight quarters, with an average year-over-year change of +1.31 percentage points.
- The high point for year-over-year Gross Margin in five years was fiscal Q4 2026 (a gain of 2.34 percentage points); the low point was fiscal Q2 2023 (a drop of 2.62 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 84.28% (Q1 2027), 85.90% (Q4 2026) and 85.26% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.10 Bn | 241.17 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 232.88 Bn | 213.28 Bn | 1.10 Bn | 74.57% |
| 3 | Fortinet | 125.22 Bn | 111.15 Bn | 1.64 Bn | 80.24% |
| 4 | Snowflake | 112.99 Bn | 100.31 Bn | 1.04 Bn | 67.02% |
| 5 | Datadog | 92.07 Bn | 73.71 Bn | 881.34 Mn | 78.59% |
| 6 | Zscaler | 34.50 Bn | 20.61 Bn | - | - |
| 7 | Okta | 34.01 Bn | 24.11 Bn | 641.00 Mn | 79.63% |
| 8 | Axon Enterprise | 32.03 Bn | 26.55 Bn | 546.45 Mn | 60.42% |
| 9 | MongoDB | 29.49 Bn | 19.96 Bn | 569.77 Mn | 73.83% |
| 10 | PagerDuty | 1.31 Bn | -622.74 Mn | 104.40 Mn | 83.90% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 83.90% |
| Apr 30, 2026 | 84.28% |
| Jan 31, 2026 | 85.90% |
| Oct 31, 2025 | 85.26% |
| Jul 31, 2025 | 84.60% |
| Apr 30, 2025 | 83.99% |
| Jan 31, 2025 | 83.55% |
| Oct 31, 2024 | 82.96% |
| Jul 31, 2024 | 82.68% |
| Apr 30, 2024 | 82.60% |
| Jan 31, 2024 | 81.68% |
| Oct 31, 2023 | 81.88% |
| Jul 31, 2023 | 81.57% |
| Apr 30, 2023 | 82.63% |
| Jan 31, 2023 | 81.83% |
| Oct 31, 2022 | 80.88% |
| Jul 31, 2022 | 79.65% |
| Apr 30, 2022 | 81.59% |
| Jan 31, 2022 | 82.26% |
| Oct 31, 2021 | 83.22% |
PagerDuty Gross Margin 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=gross-margin&ticker=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();