Spire Global (SPIR) Operating Margin (2020 - 2026)
Spire Global (SPIR) recorded Operating Margin of -110.22% in Q2 2026, up 12.43 percentage points from -122.65% a year earlier.
Spire Global (SPIR) Operating Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Spire Global's Operating Margin came in at -133.26% as of Jun 30, 2026, down 32.61 percentage points year-over-year; for FY2025, it was -134.14%, down 71.42 percentage points from FY2024.
- Annual Operating Margin has a five-year change of -42.84 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at -62.72% in FY2024 (-2.50 pp), -60.22% in FY2023 (+51.24 pp), -111.46% in FY2022 (+44.91 pp) and -156.37% in FY2021 (-65.07 pp).
- The Q2 2026 figure is the highest quarterly Operating Margin since Q1 2025.
- On a year-over-year basis, Operating Margin rose in two of the last seven quarters, with an average year-over-year change of -45.13 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 148.53 percentage points in Q4 2023, against a drop of 118.13 percentage points in Q3 2025 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 276.04 Bn | 261.11 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 247.79 Bn | 228.19 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.14 Bn | 118.07 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 114.39 Bn | 101.71 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 93.69 Bn | 75.33 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 36.20 Bn | 26.29 Bn | 641.00 Mn | 13.29% |
| 7 | Zscaler | 34.90 Bn | 21.02 Bn | - | - |
| 8 | Axon Enterprise | 32.75 Bn | 27.27 Bn | 546.45 Mn | 5.17% |
| 9 | MongoDB | 28.96 Bn | 19.43 Bn | 569.77 Mn | 3.68% |
| 10 | Spire Global | 354.42 Mn | -33.40 Mn | 6.16 Mn | -110.22% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -110.22% |
| Dec 31, 2025 | -146.07% |
| Sep 30, 2025 | -166.15% |
| Jun 30, 2025 | -122.65% |
| Mar 31, 2025 | -106.51% |
| Dec 31, 2024 | -144.12% |
| Sep 30, 2024 | -48.02% |
| Jun 30, 2024 | -48.63% |
| Mar 31, 2024 | -34.42% |
| Dec 31, 2023 | -53.98% |
| Sep 30, 2023 | -76.01% |
| Jun 30, 2023 | -45.44% |
| Mar 31, 2023 | -69.53% |
| Dec 31, 2022 | -202.51% |
| Sep 30, 2022 | -80.11% |
| Jun 30, 2022 | -84.58% |
| Mar 31, 2022 | -110.80% |
| Dec 31, 2021 | -160.39% |
| Sep 30, 2021 | -181.70% |
| Jun 30, 2021 | -148.94% |
Spire Global Operating 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=operating-margin&ticker=SPIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "SPIR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();